-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathindex.html
executable file
·1657 lines (1400 loc) · 82.2 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<!DOCTYPE html>
<!--[if lt IE 8 ]><html class="no-js ie ie7" lang="en"> <![endif]-->
<!--[if IE 8 ]><html class="no-js ie ie8" lang="en"> <![endif]-->
<!--[if (gte IE 8)|!(IE)]><!-->
<html class="no-js" lang="en">
<!--<![endif]-->
<head>
<!--- Basic Page Needs -->
<meta charset="utf-8">
<title>Mark (marcus) Edmonds</title>
<meta name="description" content="Personal website for Mark Edmonds">
<meta name="author" content="Mark Edmonds">
<!-- Mobile Specific Metas -->
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<!-- Google analytics -->
<script>
(function(i, s, o, g, r, a, m)
{
i['GoogleAnalyticsObject'] = r;
i[r] = i[r] || function()
{
(i[r].q = i[r].q || []).push(arguments)
}, i[r].l = 1 * new Date();
a = s.createElement(o),
m = s.getElementsByTagName(o)[0];
a.async = 1;
a.src = g;
m.parentNode.insertBefore(a, m)
})(window, document, 'script', 'https://www.google-analytics.com/analytics.js', 'ga');
ga('create', 'UA-98378227-1', 'auto');
ga('send', 'pageview');
</script>
<!-- CSS -->
<link rel="stylesheet" href="css/default.css">
<link rel="stylesheet" href="css/layout.css">
<link rel="stylesheet" href="css/media-queries.css">
<link rel="stylesheet" href="css/magnific-popup.css">
<link rel="stylesheet" href="css/mjedmonds.css">
<link rel="stylesheet" href="css/publications.css">
<link rel="stylesheet" href="css/bootstrap/bootstrap-iso.css">
<link href="https://use.fontawesome.com/releases/v5.0.8/css/all.css" rel="stylesheet">
<link rel="stylesheet" href="css/jquery.mobile-1.4.5.min.css" />
<!-- Script -->
<script src="js/modernizr.js"></script>
<script src="js/smooth-scroll.js"></script>
<script src="js/jquery-3.2.1.min.js"></script>
<script type="text/javascript" src="js/jquery-migrate-1.2.1.min.js"></script>
<script type="text/javascript" src="js/jquery-migrate-3.0.0.min.js"></script>
<!-- Favicons -->
<link rel="shortcut icon" href="favicon.png">
</head>
<body>
<!-- Header -->
<header id="home">
<!-- navigation -->
<nav id="nav-wrap">
<a class="mobile-btn" href="#nav-wrap" title="Show navigation">Show navigation</a>
<a class="mobile-btn" href="#" title="Hide navigation">Hide navigation</a>
<ul id="nav" class="nav">
<li class="current"><a data-scroll data-options=' {"offset": 0} ' href="#home">Home</a></li>
<li><a data-scroll data-options=' {"offset": 0} ' href="#about">About</a></li>
<li><a data-scroll data-options=' {"offset": 0} ' href="#education">Education</a></li>
<li><a data-scroll href="#news">News</a></li>
<li><a data-scroll href="#research">Research</a></li>
<li><a data-scroll href="#publications">Publications</a></li>
<li><a data-scroll href="#experience">Work Experience</a></li>
<!--<li><a data-scroll data-options=' "offset": 0} ' href="#motivation">Motivation</a></li>-->
<li><a data-scroll href="#contact">Contact</a></li>
<li><a href="./teaching.html">Teaching</a></li>
</ul>
</nav>
<!-- end #nav-wrap -->
<div class="row banner">
<div class="banner-text">
<h1 class="responsive-headline">Mark Edmonds</h1>
<h3>(my friends call me Marcus)</h3>
<br>
<h3>I'm currently a Senior Applied Scientist at <a href="https://getcruise.com">Cruise Automation</a>, working on the Behavior Planning team. I received my PhD in Computer Science at UCLA under <a href="http://www.stat.ucla.edu/~sczhu/">Dr. Song-Chun Zhu</a> with a focus on artificial intelligence, robotics, and cognitive science. Start scrolling to learn more <a data-scroll data-options='{"offset": 0}' href="#about">about me</a>.</h3>
<hr />
<ul class="social">
<!-- <li><a href=""><i class="fa fa-facebook"></i></a></li> -->
<!--<li><a href=""><i class="fa fa-twitter"></i></a></li>-->
<!--<li><a href=""><i class="fa fa-google-plus"></i></a></li>-->
<li><a href="https://www.linkedin.com/in/mjedmonds"><i class="fab fa-linkedin-in"></i></a></li>
<li><a href="https://github.com/mjedmonds"><i class="fab fa-github"></i></a></li>
<!--<li><a href=""><i class="fa fa-instagram"></i></a></li>-->
<!--<li><a href="#"><i class="fa fa-dribbble"></i></a></li>-->
<!--<li><a href="#"><i class="fa fa-skype"></i></a></li>-->
</ul>
</div>
</div>
<p class="scrolldown">
<a data-scroll data-options='{"offset": 0}' href="#about"><i class="icon-down-circle"></i></a>
</p>
</header>
<!-- Header End -->
<!-- About Section -->
<section id="about">
<div class="row">
<div class="three columns">
<img class="profile-pic" src="images/profilepic.jpg" alt="" />
</div>
<div class="nine columns main-col">
<h2>About Me</h2>
ML engineer, roboticist and builder at heart. Interested in domains with direct societal benefits via applied research. I want to build a world where ai works in service of furthering human flourishing, making basic needs affordable, and ensuring a healthy biosphere. Let's make the future as bright as possible.
<!-- <ul>
<li>
My Mission: To make the world as smart as possible. My life goal lies at the intersection of intelligence and system design; I want to create machine intelligence that will increase access to education and further general technological progress.
</li>
<li>
My mission approach: I study artificial intelligence (ai) and robotics from a perspective inspired by human cognition.
</li>
</ul> -->
<div class="row">
<div class="columns contact-details">
<br>
<h2>Contact</h2>
<p class="address">
<span>Mark Edmonds</span><br>
<span><a href="malto:[email protected]">[email protected]</a></span>
</p>
</div>
<div class="columns download">
<p>
<a href="cv/mark_edmonds_resume.pdf" class="button"><i class="fa fa-download"></i>Download Resume</a>
<a href="cv/mark_edmonds_cv.pdf" class="button"><i class="fa fa-download"></i>Download Curriculum Vitae</a>
<a href="https://tidycal.com/mjedmonds" class="button"><i class="fa fa-regular fa-calendar"></i>Book a meeting</a>
</p>
</div>
</div>
<!-- end row -->
</div>
<!-- end .main-col -->
</div>
</section>
<!-- About Section End-->
<!-- Resume Section
================================================== -->
<section id="education">
<!-- Education -->
<div class="row education">
<div class="three columns header-col">
<h1><span>Education</span></h1>
</div>
<div class="nine columns main-col">
<div class="row item">
<div class="twelve columns">
<h3>University of California, Los Angeles</h3>
<p class="info">PhD in Computer Science, Artificial Intelligence concentration <span>•</span> <em class="date">September 2021</em></p>
<ul>
<li>Dissertation: "Learning How and Why: Causal Learning and Explanation from Physical, Interactive, and Communicative Environments"</li>
</ul>
</div>
</div>
<!-- item end -->
<div class="row item">
<div class="twelve columns">
<br>
<h3>University of California, Los Angeles</h3>
<p class="info">M.S. in Computer Science <span>•</span> <em class="date">June 2017</em></p>
<ul>
<li>Thesis: "Learning Complex Functional Manipulations by Human Demonstration and Fluent Discovery"</li>
</ul>
</div>
</div>
<!-- item end -->
<div class="row item">
<div class="twelve columns">
<br>
<h3>University of Dayton</h3>
<p class="info">B.S. in Computer Engineering, Magna Cum Laude <span>•</span> <em class="date">May 2015</em></p>
<ul>
<li>Thesis: "High-Performance Declarative Memory through MapReduce"</li>
</ul>
</div>
</div>
<!-- item end -->
</div>
<!-- main-col end -->
</div>
<!-- End Education -->
</section>
<!-- Education Section End-->
<!-- News Section
================================================== -->
<section id="news">
<div class="row news">
<div class="three columns header-col">
<h1><span>News</span></h1>
</div>
<div class="nine columns main-col">
<div class="row item">
<div class="twelve columns">
<table>
<tbody>
<tr>
<td class="left"><strong>September 2023</strong></td>
<td><a href="https://www.niku.ai/mindvault/">MINDVAULT</a> selected for the <a href="https://vancouverindiefestival.com/">2023 Vancouver Independent - International Film Festival</a>.</td>
</tr>
<tr>
<td class="left"><strong>August 2023</strong></td>
<td><a href="https://www.niku.ai/mindvault/">MINDVAULT</a> selected for the <a href="https://www.ladyfilmmakers.com/2023-official-selection">2023 Lady Filmmakers Festival</a>.</td>
</tr>
<tr>
<td class="left"><strong>March 2023</strong></td>
<td>Created <a href="https://www.niku.ai/junkyard-rave/">Junkyard RAVE</a>, a generative AI music instrument that allows users to control the latent space of the <a href="https://github.com/acids-ircam/RAVE">RAVE</a> model.</td>
</tr>
<tr>
<td class="left"><strong>January 2023</strong></td>
<td>Created <a href="https://www.niku.ai/mindvault/">MINDVAULT</a>, a short film, using generative AI and live action to tell the story of a woman's psychological experience during a traumatic event.</td>
</tr>
<tr>
<td class="left"><strong>August 2022</strong></td>
<td><a href="https://techxplore.com/news/2022-08-ai-paradigm-human-robot-collaboration.html">TechXplore coverage of <a href="https://robotics.sciencemag.org/">Science Robotics</a> article</td>
</tr>
<tr>
<td class="left"><strong>July 2022</strong></td>
<td><a href="projects/xai_scout/SciRot2022_xai_scout.html">Journal publication</a> accepted at <a href="https://robotics.sciencemag.org/">Science Robotics</a></td>
</tr>
<tr>
<td class="left"><strong>October 2021</strong></td>
<td>Started my post-PhD adventure as a Senior Software Engineer at <a href="https://getcruise.com/">Cruise Automation</a>, working on maneuver planning for autonomous vehicles</td>
</tr>
<tr>
<td class="left"><strong>October 2021</strong></td>
<td>Quoted in <a href="https://www.technologyreview.com/2021/10/04/1036413/amazons-astro-robot-pet/">MIT Tech Review article on Amazon's Astro robot</a></td>
</tr>
<tr>
<td class="left"><strong>August 2021</strong></td>
<td><a href="papers/mjedmonds___PhD_Dissertation.pdf">Dissertation defended and published</a> for UCLA PhD</td>
</tr>
<tr>
<td class="left"><strong>March 2021</strong></td>
<td><a href="projects/ACRE/CVPR2021_ACRE.html">Paper accepted</a> at <a href="http://cvpr2021.thecvf.com/">Conference on Computer Vision and Pattern Recognition (CVPR) 2021</a></td>
</tr>
<tr>
<td class="left"><strong>Feburary 2020</strong></td>
<td><a href="projects/Dark_beyond_deep/Engineering2020_dark_beyond_deep.html">Journal publication</a> accepted at <a href="https://www.sciencedirect.com/journal/engineering">Engineering</a></td>
</tr>
<tr>
<td class="left"><strong>December 2019</strong></td>
<td><a href="projects/XOpenBottle/SciRot19_xopenbottle.html">Science Robotics article</a> covered in <a href="https://spectrum.ieee.org/automaton/robotics/artificial-intelligence/a-robot-that-explains-its-actions">IEEE Spectrum</a>, <a href="https://samueli.ucla.edu/in-robots-we-trust-ucla-study-shows-way-forward/">UCLA Samueli School of Engineering</a>, and <a href="https://techxplore.com/news/2019-12-robot-people-robots.html">Tech Xplore</a></td>
</tr>
<tr>
<td class="left"><strong>November 2019</strong></td class="left">
<td><a href="projects/XOpenBottle/SciRot19_xopenbottle.html">Journal publication</a> accepted at <a href="https://robotics.sciencemag.org/">Science Robotics</a></td>
</tr>
<tr>
<td class="left"><strong>November 2019</strong></td class="left">
<td><a href="projects/OpenLock/AAAI20_OpenLockLearner.html">Paper accepted</a> for an oral presentation at <a href="https://aaai.org/Conferences/AAAI-20/">AAAI Conference on Artificial Intelligence (AAAI) 2020</a></td>
</tr>
<tr>
<td class="left"><strong>April 2019</strong></td class="left">
<td><a href="projects/OpenLock/CogSci19_OpenLock_Learner.html">Paper accepted</a> at <a href="https://cognitivesciencesociety.org/cogsci-2019/">Annual Meeting of the Cognitive Science Society (CogSci) 2019</a></td>
</tr>
<tr>
<td class="left"><strong>September 2018</strong></td class="left">
<td>Invited talk at <a href="http://vcla.stat.ucla.edu/muri2018/">ONR MURI meeting</a></td>
</tr>
<tr>
<td class="left"><strong>August 2018</strong></td class="left">
<td><a href="projects/DM/TPDS18_HADM_final.pdf">Journal publication</a> accepted at <a href="https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=71">
IEEE Transactions on Parallel and Distributed Systems (TPDS)</a></td>
</tr>
<tr>
<td class="left"><strong>June 2018</strong></td class="left">
<td>Invited talk at <a href="https://sites.google.com/stanford.edu/rss18-causal-imitation">
Robotics: Science and Systems (RSS) Causal Imitation Workshop</a></td>
</tr>
<tr>
<td class="left"><strong>April 2018</strong></td class="left">
<td><a href="projects/OpenLock/CogSci18_OpenLock_CausalRL.html">Paper accepted</a> for an oral presentation at <a href="http://www.cognitivesciencesociety.org/conference/cogsci-2018/">Annual Meeting of the Cognitive Science Society (CogSci) 2018</a></td>
</tr>
<tr>
<td class="left"><strong>January 2018</strong></td class="left">
<td><a href="papers/ICRA18_Unsupervised_learning_hierarchical_hoi.pdf">Paper accepted</a> at <a href="https://icra2018.org/">International Conference on Robotics and Automation (ICRA) 2018</a></td>
</tr>
<tr>
<td class="left"><strong>November 2017</strong></td class="left">
<td>Invited Lightning Talk at <a href="http://www.robot-learning.org/home/corl2017">Conference on Robot Learning (CoRL) 2017</a></td>
</tr>
<tr>
<td class="left"><strong>August 2017</strong></td class="left">
<td>Invited talk at <a href="http://vcla.stat.ucla.edu/muri2017/">ONR MURI meeting</a></td>
</tr>
<tr>
<td class="left"><strong>June 2017</strong></td class="left">
<td>Two papers accepted (<a href="papers/IROS17_OpenBottle_final.pdf">paper one</a>, <a href="papers/IROS17_GloveHardware_final.pdf">paper two</a>) at <a href="http://iros2017.org/">International Conference on Intelligent Robots and Systems (IROS) 2017</a></td>
</tr>
</tbody>
</table>
</div>
</div>
<!-- item end -->
</div>
<!-- main-col end -->
</div>
<!-- End Education -->
</section>
<!-- Education Section End-->
<section id="research">
<!-- research -->
<div class="row research">
<div class="three columns header-col">
<h1><span>Research</span></h1>
</div>
<div class="nine columns main-col">
<div class="row item">
<div class="twelve columns">
<div id="research-overview">
<h3>Research Overview</h3>
<p>Humans build generalizable and explainable representations of their environment through interaction, observation, imitation, intervention, and language. The following research produced from a collaborative, team-based lab explores how artificial agents can use these five concepts to learn robust and transferable representations of tasks and environments.</p>
</div>
</div>
</div>
<div class="row item">
<div class="twelve columns">
<div id="vrgym-replearn">
<h5>Representation learning: The role of language in building generalizable representations</h5>
<p class="info">Center for Vision, Cognition, Learning, and Autonomy, UCLA<span>•</span> <em class="date">Mar 2018 - Present</em></p>
<ul>
<li>Created a virtual playground for embodied AI to learn interpretable, common-sense representations of its environment.</li>
<li>Built a simulated environment using Unreal Engine 4 (UE4) that couples language and vision in a scene graph.</li>
<li>Devised a dataset consisting of images, language labels, and object segmentation.</li>
<li>Ongoing: Build representation learning algorithm to use language labels to decompose latent encoding of the environment.</li>
</ul>
<div class="researchimgcontainer">
<iframe src="https://player.vimeo.com/video/529830125" width="640" height="400" frameborder="0" allow="fullscreen;" allowfullscreen></iframe>
</div>
<div class="collabcontainer">
<div class="collableft">
<b>Collaborators:</b>
<ul>
<li> <a href="https://xuxie1031.github.io/">Xu Xie</a>, University of California, Los Angeles</li>
<li> <a href="https://www.johndang.me/">John Dang</a>, University of California, Los Angeles</li>
<li> <a href="https://www.linkedin.com/in/samuel-y-hunter/">Samuel Hunter</a>, University of California, Los Angeles</li>
<li> <a href="https://sushipaypay.github.io/">Paymon Haddad</a>, University of California, Los Angeles</li>
<li> <a href="http://www.yzhu.io/">Yixin Zhu</a>, University of California, Los Angeles</li>
<li> <a href="http://www.stat.ucla.edu/~sczhu/">Song-Chun Zhu</a>, University of California, Los Angeles</li>
</ul>
</div>
<div class="collabright">
<img src="images/VCLA.png" style="width: 75px" alt="Center for Vision, Cognition, Learning and Autonomy logo" /><br>
</div>
</div>
</div>
<div id="xai">
<h5>Explainable AI: How can robots explain their behavior to foster trust from humans?</h5>
<p class="info">Center for Vision, Cognition, Learning, and Autonomy, UCLA<span>•</span> <em class="date">Feb 2018 - Dec 2019</em></p>
<ul>
<li>Expanded prior imitation learning work by building human-understandable visual interfaces to describe the robot's haptic network and And-Or Graph.</li>
<li>Showed that robots may need to "think" one way to complete a task but another way to explain their behavior: the explanations that best fostered trust were not the model components that best aided the robot to achieve the task.</li>
<li>Result: Consider explainability as a first-class citizen when building AI systems that interact with humans.</li>
</ul>
<div class="researchimgcontainer">
<iframe title="vimeo-player" src="https://player.vimeo.com/video/380861069" width="640" height="371" frameborder="0" allowfullscreen></iframe>
</div>
<div class="collabcontainer">
<div class="collableft">
<b>Collaborators:</b>
<ul>
<li> <a href="https://fen9.github.io/">Feng Gao</a>, University of California, Los Angeles</li>
<li> <a href="https://liuhx111.github.io/">Hangxin Liu</a>, University of California, Los Angeles</li>
<li> <a href="https://xuxie1031.github.io/">Xu Xie</a>, University of California, Los Angeles</li>
<li> <a href="http://web.cs.ucla.edu/~syqi/">Siyuan Qi</a>, University of California, Los Angeles</li>
<li> <a href="https://www-robotics.jpl.nasa.gov/people/Brandon_Rothrock/">Brandon Rothrock</a>, NASA Jet Propulsion Laboratory</li>
<li> <a href="http://www.yzhu.io/">Yixin Zhu</a>, University of California, Los Angeles</li>
<li> <a href="http://www.stat.ucla.edu/~ywu/">Ying Nian Wu</a>, University of California, Los Angeles</li>
<li> <a href="http://cvl.psych.ucla.edu/people.htm">Hongjing Lu</a>, University of California, Los Angeles</li>
<li> <a href="http://www.stat.ucla.edu/~sczhu/">Song-Chun Zhu</a>, University of California, Los Angeles</li>
</ul>
</div>
<div class="collabright">
<img src="images/VCLA.png" style="width: 75px" alt="Center for Vision, Cognition, Learning and Autonomy logo" /><br>
<img src="images/JPL.png" style="width: 125px" alt="Jet Propulsion Laboratory logo" />
</div>
</div>
<div>
<b>Papers published:</b>
<ol>
<li><a href="http://robotics.sciencemag.org/cgi/content/full/4/37/eaay4663?ijkey=fn9h.cykmWa7.&keytype=ref&siteid=robotics">A tale of two explanations: Enhancing human trust by explaining robot behavior</a></li>
</ol>
</div>
</div>
<div id="openlock">
<h5>Causal learning: Virtual escape room to examine how humans and AI learn transferable causal representations</h5>
<p class="info">Center for Vision, Cognition, Learning, and Autonomy, UCLA<span>•</span> <em class="date">Feb 2017 - Feb 2020</em></p>
<ul>
<li>Built virtual "escape room" to test causal generalization; surface-level features change room to room while each room is governed by a common abstract causal structure (series of levers) that describes the required actions to "unlock" the room.</li>
<li>Ran human subject experiments to verify human learners are capable of discovering the correct abstract causal structure.</li>
<li>Built hierarchical Bayesian model to achieve similar performance as human learners. This causal model was able to solve the escape room while seven state-of-the-art model-free reinforcement learning algorithms failed at the task.</li>
<li>Result: Both structural abstraction and feature generalization are critical for transfer learning and generalization.</li>
</ul>
<div class="researchimgcontainer">
<iframe src="https://player.vimeo.com/video/391773142" width="640" height="360" frameborder="0" allow="fullscreen" allowfullscreen></iframe>
</div>
<div class="collabcontainer">
<div class="collableft">
<b>Collaborators:</b>
<ul>
<li> <a href="http://www.yzhu.io/">Yixin Zhu</a>, University of California, Los Angeles</li>
<li> <a href="http://reasoninglab.psych.ucla.edu/Labbies/JamesKubricht.html">James Kubricht</a>, University of California, Los Angeles</li>
<li> <a href="https://www-robotics.jpl.nasa.gov/people/Brandon_Rothrock/">Brandon Rothrock</a>, NASA Jet Propulsion Laboratory</li>
<li> <a href="http://cvl.psych.ucla.edu/people.htm">Hongjing Lu</a>, University of California, Los Angeles</li>
<li> <a href="http://www.stat.ucla.edu/~sczhu/">Song-Chun Zhu</a>, University of California, Los Angeles</li>
</ul>
</div>
<div class="collabright">
<img src="images/VCLA.png" style="width: 75px" alt="Center for Vision, Cognition, Learning and Autonomy logo" /><br>
<img src="images/JPL.png" style="width: 125px" alt="Jet Propulsion Laboratory logo" />
</div>
</div>
<div>
<b>Papers published:</b>
<ol>
<li><a href="papers/AAAI20_OpenLockLearnerTransferRL_final.pdf">Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning</a></li>
<li><a href="papers/CogSci19_OpenLockLearner_final.pdf">Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning</a></li>
<li><a href="papers/CogSci18_OpenLock_CausalRL_final.pdf">Human Causal Transfer: Challenges for Deep Reinforcement Learning </a></li>
</ol>
</div>
</div>
<div id="imitation-learning">
<h5>Imitation learning: Training a robot to twist open a medicine bottle</h5>
<p class="info">Center for Vision, Cognition, Learning, and Autonomy, UCLA<span>•</span> <em class="date">December 2015 - Feb 2017</em></p>
<ul>
<li>Captured the complex human hand forces required to open seven different medicine bottles with a tactical glove covered in IMUs (inertial measurement units) and force sensors.</li>
<li>Constructed robot action planner using a haptic network, And-Or Graph, and the generalized Earley parser.</li>
<li>Result: Questioned the common structure humans see in the procedure to open any medicine bottle vs. the widely varying forces and action sequences used by the robot for each bottle. <a href="#openlock">This prompted an investigation of abstraction and generalization...</a></li>
</ul>
<div>
<b>Engineering contributions:</b>
<ul>
<li> Neural network training for action planning and embodiment mapping between a human demonstrator and a robot</li>
<li> Localization using SLAM, IMU, and wheel odometry combined with Kalman filtering using a Microsoft Kinect and Velodyne VLP16</li>
<li> ROS navigation stack, including a dynamic footprint based on current position of arms </li>
</ul>
</div>
<div class="researchimgcontainer">
<iframe src="https://player.vimeo.com/video/161556506" width="640" height="360" frameborder="0" allow="fullscreen" allowfullscreen></iframe>
</div>
<div class="collabcontainer">
<div class="collableft">
<b>Collaborators:</b>
<ul>
<li> <a href="https://fen9.github.io/">Feng Gao</a>, University of California, Los Angeles</li>
<li> <a href="https://liuhx111.github.io/">Hangxin Liu</a>, University of California, Los Angeles</li>
<li> <a href="https://xuxie1031.github.io/">Xu Xie</a>, University of California, Los Angeles</li>
<li> <a href="http://web.cs.ucla.edu/~mmillar/info.shtml">Matt Millar</a>, University of California, Los Angeles</li>
<li> <a href="http://web.cs.ucla.edu/~syqi/">Siyuan Qi</a>, University of California, Los Angeles</li>
<li> <a href="http://www.yzhu.io/">Yixin Zhu</a>, University of California, Los Angeles</li>
<li> <a href="https://www-robotics.jpl.nasa.gov/people/Brandon_Rothrock/">Brandon Rothrock</a>, NASA Jet Propulsion Laboratory</li>
<li> <a href="http://www.stat.ucla.edu/~sczhu/">Song-Chun Zhu</a>, University of California, Los Angeles</li>
</ul>
</div>
<div class="collabright">
<img src="images/VCLA.png" style="width: 75px" alt="Center for Vision, Cognition, Learning and Autonomy logo" /><br>
<img src="images/JPL.png" style="width: 125px" alt="Jet Propulsion Laboratory logo" />
</div>
</div>
<div>
<b>Papers published:</b>
<ol>
<li><a href="papers/IROS17_OpenBottle_final.pdf">Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles</a></li>
<li><a href="papers/ICRA18_Unsupervised_learning_hierarchical_hoi.pdf">Unsupervised Learning of Hierarchical Models for Hand-Object Interactions</a></li>
<li><a href="papers/IROS17_GloveHardware_final.pdf">A Glove-based System for Studying Hand-Object Manipulation via Pose and Force Sensing</a></li>
</ol>
</div>
</div>
<h5>Hardware Accelerated Declarative Memory for ACT-R</h5>
<p class="info">Wright Patterson Air Force Base, University of Dayton<span>•</span> <em class="date">January 2014 - September 2015</em></p>
<ul>
<li>Conducted Declarative Memory (semantic knowledge retrieval system) research for the ACT-R cognitive architecture.</li>
<li>Architected a new declarative memory system using CUDA, thread pools, parsers, inter-process communication (IPC).</li>
<li>Continued project work between summers as undergrad thesis research.</li>
<li>Result: Parallelized declarative retrievals; yielded a 100x speedup over the fastest existing implementation.</li>
</ul>
<div class="collabcontainer">
<div class="collableft">
<b>Collaborators:</b>
<ul>
<li> <a href="https://udayton.edu/directory/engineering/electrical_and_computer/taha_tarek_m.php">Tarek Taha</a>, University of Dayton</li>
<li> <a href="http://act-r.psy.cmu.edu/?post_type=authors&p=10523">Scott Douglass</a>, United States Air Force Research Lab</li>
<li> <a href="http://dblp.uni-trier.de/pers/hd/a/Atahary:Tanvir">Tanvir Atahary</a>, United States Air Force Research Lab</li>
</ul>
</div>
<div>
<div class="collabright">
<img src="images/UDlogo.png" style="width: 125px" alt="University of Dayton logo" /><br>
<img src="images/AFRL.png" style="width: 125px" alt="Air Force Research Lab logo" />
</div>
</div>
<div>
<b>Papers published:</b>
<ol>
<li><a href="projects/DM/TPDS18_HADM_final.pdf">Hardware Accelerated Semantic Declarative Memory Systems through CUDA and MapReduce</a></li>
<li><a href="papers/SNPD_2015_HighPerformanceDM_final.pdf">High Performance Declarative Memory Systems through MapReduce</a></li>
</ol>
</div>
</div>
<h5>Robotic Arm Brain Machine Interface</h5>
<p class="info">University of Dayton Senior Design Project<span>•</span> <em class="date">August 2014 - May 2015</em></p>
<ul>
<li>Expanded the capability of a brain machine interface through EEG signals and a robotic arm.</li>
<li>Developed EEG signal classifier using Linear Discriminant Analysis (LDA)</li>
<li>Added six additional gestures and improving the universality of the interface.</li>
</ul>
<div class="collabcontainer">
<div class="collableft">
<b>Collaborators:</b>
<ul>
<li> <a href="https://udayton.edu/engineering/centers/vision_lab/people_profile/dan_prince_profile.php">Daniel Prince</a>, University of Dayton</li>
<li> <a href="https://www.udayton.edu/engineering/centers/vision_lab/index.php#4">Andrew Sutter</a>, University of Dayton</li>
<li> <a href="https://www.udayton.edu/engineering/centers/vision_lab/index.php#4">Matthew Cusumano</a>, University of Dayton</li>
<li> <a href="https://www.udayton.edu/engineering/centers/vision_lab/index.php#4">Wenjie Lu</a>, University of Dayton</li>
<li> <a href="https://udayton.edu/directory/engineering/electrical_and_computer/asari_vijayan.php">Vijayan K. Asari</a>, University of Dayton</li>
</ul>
</div>
<div class="collabright">
<img src="images/UDlogo.png" style="width: 125px" alt="University of Dayton logo" />
</div>
</div>
<div>
<b>Papers published:</b>
<ol>
<li><a href="papers/bmi-using-emotiv.pdf">Brain Machine Interface Using Emotiv EPOC to Control Robai Cyton Robotic Arm</a></li>
</ol>
</div>
</div>
<!-- end col -->
</div>
<!-- item end -->
</div>
<!-- main-col end -->
</div>
<!-- End research -->
</section>
<!-- research Section End-->
<section id="publications">
<!-- publications -->
<div class="row publications">
<div class="three columns header-col">
<h1><span>Publications</span></h1>
</div>
<div class="nine columns main-col">
<div class="row item">
<div class="twelve columns">
<!-- Science Robotics 2022, In situ bidirectional human-robot value alignment -->
<div class="pitems">
<div class="pubmain">
<div class="pubassets">
<a href="projects/xai_scout/SciRot2022_xai_scout.html" class="tooltips" title="Project Page">
<i class="fas fa-expand"></i><span class="atext">Project</span>
<a href="https://vimeo.com/730025438" class="tooltips" title="Video demo">
<i class="far fa-file-video"></i><span class="atext">Video</span>
</a>
<a href="https://www.science.org/action/downloadSupplement?doi=10.1126%2Fscirobotics.abm4183&file=scirobotics.abm4183_sm.pdf" class="tooltips" title="Supplementary Download">
<i class="far fa-file-pdf"></i><span class="atext">Supp</span>
</a>
<a href="https://yzhu.io/publication/teaming2022scirob/" class="tooltips" title="Paper Download">
<i class="far fa-file-pdf"></i><span class="atext">Paper</span>
</a>
</div>
<!-- end pubassests -->
<h5><a href="https://yzhu.io/publication/teaming2022scirob/">In situ bidirectional human-robot value alignment</a></h5>
<div class="pubauthor">
<a href="https://yuanluya.github.io/">L. Yuan</a>*,
<a href="https://xfgao.github.io/">X. Gao</a>*,
<a href="https://zilongzheng.github.io/">Z. Zheng</a>*,
<strong>M. Edmonds</strong>,
<a href="http://www.stat.ucla.edu/~ywu/">Y.N. Wu</a>,
<a href="https://www.psych.ucla.edu/faculty/page/hongjing">H. Lu</a>,
<a href="http://www.yzhu.io/">Y. Zhu</a>,
<a href="http://www.stat.ucla.edu/~sczhu/">S.C. Zhu</a>
<br />
* equal contributors
</div>
<p class="paper">Science Robotics, Volume 7, Issue 68, 2022</p>
<div class="bootstrap-iso">
<span class="label label-success">Journal Publication</span>
<span class="label label-primary">Explainable AI (XAI)</span>
</div>
<div class="researchimgcontainer">
<a href="projects/xai_scout/ScitRot2022_xai_scout.html">
<img class="researchimg" src="projects/xai_scout/lead_image.webp" alt="Overview" />
</a>
</div>
</div>
<!-- end pubmain -->
<br style="clear:both" />
</div>
<!-- Dissertation -->
<div class="pitems">
<div class="pubmain">
<div class="pubassets">
<a href="./papers/mjedmonds___PhD_Dissertation.pdf" class="tooltips" title="Paper Download">
<i class="far fa-file-pdf"></i><span class="atext">Paper</span>
</a>
</div>
<!-- end pubassests -->
<h5><a href="./papers/mjedmonds___PhD_Dissertation.pdf">Learning How and Why: Causal Learning and Explanation from Physical, Interactive, and Communicative Environments</a></h5>
<div class="pubauthor">
<strong>M. Edmonds</strong>
<br />
</div>
<p class="paper">UCLA Dissertation</p>
<div class="bootstrap-iso">
<span class="label label-success">Dissertation</span>
<span class="label label-primary">Imitation Learning</span>
<span class="label label-primary">Causal Learning</span>
<span class="label label-primary">Explainable AI (XAI)</span>
</div>
<div class="researchimgcontainer">
<img class="researchimg" style="width: 275px" src="projects/XOpenBottle/system-arch_v3.png" alt="Imitation learning system architecture" />
<img class="researchimg" style="width: 200px" src="projects/OpenLock/aaai20_hierarchy.png" alt="Causal learning hierarchy" />
<!-- <img class="researchimg" src="projects/" alt="GEP explanation" /> -->
</div>
</div>
<!-- end pubmain -->
<br style="clear:both" />
</div>
<!-- CVPR 2021, ACRE: Abstract Causal REasoning Beyond Covariation -->
<div class="pitems">
<div class="pubmain">
<div class="pubassets">
<a href="projects/ACRE/CVPR2021_ACRE.html" class="tooltips" title="Project Page">
<i class="fas fa-expand"></i><span class="atext">Project</span>
</a>
<!--
<a href="https://vimeo.com/334518941" class="tooltips" title="Video demo">
<i class="far fa-file-video"></i>
</a>
-->
<a href="https://github.com/WellyZhang/ACRE" class="tooltips" title="Code">
<i class="fas fa-code"></i><span class="atext">Code</span>
</a>
<a href="https://wellyzhang.github.io/project/acre.html#dataset" class="tooltips" title="Dataset">
<i class="fas fa-code"></i><span class="atext">Dataset</span>
</a>
<a href="papers/cvpr21zhang_acre_supp.pdf" class="tooltips" title="Supplementary Download">
<i class="far fa-file-pdf"></i><span class="atext">Supp</span>
</a>
<a href="./papers/cvpr21zhang_acre.pdf" class="tooltips" title="Paper Download">
<i class="far fa-file-pdf"></i><span class="atext">Paper</span>
</a>
</div>
<!-- end pubassests -->
<h5><a href="./papers/cvpr21zhang_acre.pdf">ACRE: Abstract Causal REasoning Beyond Covariation</a></h5>
<div class="pubauthor">
<a href="https://wellyzhang.github.io">C. Zhang</a>,
<a href="https://buzz-beater.github.io/">B. Jia</a>,
<strong>M. Edmonds</strong>,
<a href="http://www.stat.ucla.edu/~sczhu/">S.C. Zhu</a>
<a href="http://www.yzhu.io/">Y. Zhu</a>,
<br />
</div>
<p class="paper">CVPR 2021</p>
<div class="bootstrap-iso">
<span class="label label-success">Conference Paper</span>
<span class="label label-primary">Causal Reasoning</span>
<span class="label label-primary">Neuro-symbolic Reasoning</span>
</div>
<div class="researchimgcontainer">
<a href="projects/ACRE/CVPR2021_ACRE.html">
<img class="researchimg" style="width: 500px;" src="projects/ACRE/example.jpeg" alt="Example queries and images used in ACRE" />
<!-- <img class="researchimg" src="projects/" alt="GEP explanation" /> -->
</a>
</div>
</div>
<!-- end pubmain -->
<br style="clear:both" />
</div>
</div>
<div class="twelve columns">
<!-- Engineering 2019, Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense -->
<div class="pitems">
<div class="pubmain">
<div class="pubassets">
<a href="projects/Dark_beyond_deep/Engineering2020_dark_beyond_deep.html" class="tooltips" title="Project Page">
<i class="fas fa-expand"></i><span class="atext">Project</span>
</a>
<a href="./papers/2020_dark_beyond_deep.pdf" class="tooltips" title="Paper Download">
<i class="far fa-file-pdf"></i><span class="atext">Paper</span>
</a>
</div>
<!-- end pubassests -->
<h5><a href="./papers/2020_dark_beyond_deep.pdf">Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense</a></h5>
<div class="pubauthor">
<a href="http://www.yzhu.io/">Y. Zhu</a>,
<a href="http://www.stat.ucla.edu/~taogao/">T. Gao</a>,
<a href="https://lifengfan.github.io/">L. Fan</a>,
<a href="https://siyuanhuang.com/">S. Huang</a>,
<strong>M. Edmonds</strong>,
<a href="https://liuhx111.github.io/">H. Liu</a>,
<a href="https://fen9.github.io">F. Gao</a>,
<a href="https://wellyzhang.github.io/">C. Zhang</a>,
<a href="http://web.cs.ucla.edu/~syqi/">S. Qi</a>,
<a href="http://www.stat.ucla.edu/~ywu/">Y.N. Wu</a>,
<a href="http://web.mit.edu/cocosci/josh.html">J.B. Tenenbaum</a>,
<a href="http://www.stat.ucla.edu/~sczhu/">S.C. Zhu</a>
<br />
</div>
<p class="paper">Engineering 2020</p>
<div class="bootstrap-iso">
<span class="label label-success">Journal Publication</span>
<span class="label label-primary">Computer Vision</span>
<span class="label label-primary">Common Sense Reasoning</span>
</div>
<div class="researchimgcontainer">
<a href="projects/Dark_beyond_deep/Engineering2020_dark_beyond_deep.html">
<img class="researchimg" style="width: 500px;" src="projects/Dark_beyond_deep/motivation.png" alt="Understanding a scene or event through joint parsing and cognitive reasoning" />
<!-- <img class="researchimg" src="projects/" alt="GEP explanation" /> -->
</a>
</div>
</div>
<!-- end pubmain -->
<br style="clear:both" />
</div>
<!-- Science Robotics 2019, A tale of two explanations: Enhancing human trust by explaining robot behavior -->
<div class="pitems">
<div class="pubmain">
<div class="pubassets">
<a href="projects/XOpenBottle/SciRot19_xopenbottle.html" class="tooltips" title="Project Page">
<i class="fas fa-expand"></i><span class="atext">Project</span>
<a href="https://vimeo.com/380861069" class="tooltips" title="Video demo">
<i class="far fa-file-video"></i><span class="atext">Video</span>
</a>
<a href="https://robotics.sciencemag.org/content/suppl/2019/12/16/4.37.eaay4663.DC1" class="tooltips" title="Supplementary Download">
<i class="far fa-file-pdf"></i><span class="atext">Supp</span>
</a>
<a href="http://robotics.sciencemag.org/cgi/content/full/4/37/eaay4663?ijkey=fn9h.cykmWa7.&keytype=ref&siteid=robotics" class="tooltips" title="Paper Download">
<i class="far fa-file-pdf"></i><span class="atext">Paper</span>
</a>
</div>
<!-- end pubassests -->
<h5><a href="http://robotics.sciencemag.org/cgi/content/full/4/37/eaay4663?ijkey=fn9h.cykmWa7.&keytype=ref&siteid=robotics">A tale of two explanations: Enhancing human trust by explaining robot behavior</a></h5>
<div class="pubauthor">
<strong>M. Edmonds</strong>*,
<a href="https://fen9.github.io">F. Gao</a>*,
<a href="https://liuhx111.github.io/">H. Liu</a>*,
<a href="https://xuxie1031.github.io/">X. Xie</a>*,
<a href="http://web.cs.ucla.edu/~syqi/">S. Qi</a>,
<a href="http://www.wolfcry.net/">B. Rothrock</a>,
<a href="http://www.yzhu.io/">Y. Zhu</a>,
<a href="http://www.stat.ucla.edu/~ywu/">Y.N. Wu</a>,
<a href="https://www.psych.ucla.edu/faculty/page/hongjing">H. Lu</a>,
<a href="http://www.stat.ucla.edu/~sczhu/">S.C. Zhu</a>
<br />
* equal contributors
</div>
<p class="paper">Science Robotics, Volume 4, Issue 37, 2019</p>
<div class="bootstrap-iso">
<span class="label label-success">Journal Publication</span>
<span class="label label-primary">Explainable AI (XAI)</span>
</div>
<div class="researchimgcontainer">
<a href="projects/XOpenBottle/SciRot19_xopenbottle.html">
<img class="researchimg" src="projects/XOpenBottle/system-arch_v3.png" alt="system architecture" />
<img class="researchimg" src="projects/XOpenBottle/gep_explanation.gif" alt="GEP explanation" />
</a>
</div>
</div>
<!-- end pubmain -->
<br style="clear:both" />
</div>
<!-- AAAI 2020, Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning -->
<div class="pitems">
<div class="pubmain">
<div class="pubassets">
<a href="projects/OpenLock/AAAI20_OpenLockLearner.html" class="tooltips" title="Project Page">
<i class="fas fa-expand"></i><span class="atext">Project</span>
</a>
<a href="https://github.com/mjedmonds/OpenLockLearner-AAAI20" class="tooltips" title="Code">
<i class="fas fa-code"></i><span class="atext">Code</span>
</a>
<a href="papers/AAAI20_OpenLockLearnerTransferRL_supp.pdf" class="tooltips" title="Supplementary Download">
<i class="far fa-file-pdf"></i><span class="atext">Supp</span>
</a>
<a href="papers/AAAI20_OpenLockLearnerTransferRL_final.pdf" class="tooltips" title="Paper Download">
<i class="far fa-file-pdf"></i><span class="atext">Paper</span>
</a>
</div>
<!-- end pubassests -->
<h5><a href="papers/AAAI20_OpenLockLearnerTransferRL_final.pdf">Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning</a></h5>
<div class="pubauthor">
<strong>M. Edmonds</strong>,
<a href="http://web.cs.ucla.edu/~xm/">X. Ma</a>,
<a href="http://web.cs.ucla.edu/~syqi/">S. Qi</a>,
<a href="http://www.yzhu.io/">Y. Zhu</a>,
<a href="https://www.psych.ucla.edu/faculty/page/hongjing">H. Lu</a>,
<a href="http://www.stat.ucla.edu/~sczhu/">S.C. Zhu</a>
<br />
</div>
<p class="paper">Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020</p>
<div class="bootstrap-iso">
<span class="label label-success">Conference Paper</span>
<span class="label label-danger">Oral Presentation</span>
<span class="label label-primary">Causal Learning</span>
</div>
<div class="researchimgcontainer">
<a href="projects/OpenLock/AAAI20_OpenLockLearner.html">
<img class="researchimg" style="width: 225px" src="projects/OpenLock/aaai20_hierarchy.png" alt="causal hierarchy" />
<img class="researchimg" style="width: 240px" src="projects/OpenLock/aaai20_model_result.png" alt="model result" />
</a>
</div>
</div>
<!-- end pubmain -->
<br style="clear:both" />
</div>
<!-- CogSci 2019, Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning -->
<div class="pitems">
<div class="pubmain">
<div class="pubassets">
<a href="projects/OpenLock/CogSci19_OpenLock_Learner.html" class="tooltips" title="Project Page">
<i class="fas fa-expand"></i><span class="atext">Project</span>
</a>
<a href="https://vimeo.com/334518941" class="tooltips" title="Video demo">
<i class="far fa-file-video"></i><span class="atext">Video</span>
</a>
<a href="papers/CogSci19_OpenLockLearner_final.pdf" class="tooltips" title="Paper Download">
<i class="far fa-file-pdf"></i><span class="atext">Paper</span>
</a>
</div>
<!-- end pubassests -->
<h5><a href="papers/CogSci19_OpenLockLearner_final.pdf">Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning</a></h5>
<div class="pubauthor">
<strong>M. Edmonds</strong>,
<a href="http://web.cs.ucla.edu/~syqi/">S. Qi</a>,
<a href="http://www.yzhu.io/">Y. Zhu</a>,
<a href="https://sites.google.com/view/jameskubricht/home">J. Kubricht</a>,
<a href="http://www.stat.ucla.edu/~sczhu/">S.C. Zhu</a>,
<a href="https://www.psych.ucla.edu/faculty/page/hongjing">H. Lu</a>.
<br />
</div>
<p class="paper">41st Annual Meeting of the Cognitive Science Society (CogSci), 2019</p>
<div class="bootstrap-iso">
<span class="label label-success">Conference Paper</span>
<span class="label label-primary">Causal Learning</span>
</div>
<div class="researchimgcontainer">
<a href="projects/OpenLock/CogSci19_OpenLock_Learner.html">
<img class="researchimg" style="width: 200px" src="projects/OpenLock/openlock_trial2.png" alt="causal simulator" />
<img class="researchimg" style="width: 300px" src="projects/OpenLock/CogSci2019_hierarchy.png" alt="causal learning hierarchy" />
</a>
</div>
</div>
<!-- end pubmain -->
<br style="clear:both" />
</div>
<!-- TPDS, Hardware Accelerated Semantic Declarative Memory Systems through CUDA and MapReduce-->
<div class="pitems">
<div class="pubmain">
<div class="pubassets">
<a href="projects/DM/TPDS18_HADM_final.pdf" class="tooltips" title="Paper Download">
<i class="far fa-file-pdf"></i><span class="atext">Paper</span>
</a>
</div>
<!-- end pubassests -->