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2020 – today
- 2021
[i15]Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. CoRR abs/2101.06511 (2021)- [i14]Yigit Alparslan, Ethan Jacob Moyer, Edward Kim:
Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures. CoRR abs/2101.06518 (2021) - 2020
- [j4]Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti:
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. J. Chem. Inf. Model. 60(3): 1194-1201 (2020) - [c30]Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon:
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model. CVPR Workshops 2020: 1482-1487 - [c29]Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon:
Modeling Biological Immunity to Adversarial Examples. CVPR 2020: 4665-4674 - [c28]Edward Kim, Divya Gopinath, Corina S. Pasareanu, Sanjit A. Seshia:
A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors. CVPR 2020: 11125-11134 - [c27]John Carter, Jocelyn Rego, Daniel Schwartz
, Vikas Bhandawat, Edward Kim:
Learning Spiking Neural Network Models of Drosophila Olfaction. ICONS 2020: 20:1-20:5 - [c26]Daniel Schwartz, Yigit Alparslan, Edward Kim:
Regularization and Sparsity for Adversarial Robustness and Stable Attribution. ISVC (1) 2020: 3-14 - [c25]Daniel J. Fremont, Edward Kim, Yash Vardhan Pant, Sanjit A. Seshia, Atul Acharya, Xantha Bruso, Paul Wells, Steve Lemke, Qiang Lu, Shalin Mehta:
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World. ITSC 2020: 1-8 - [e2]George Bebis, Zhaozheng Yin, Edward Kim, Jan Bender, Kartic Subr, Bum Chul Kwon, Jian Zhao, Denis Kalkofen, George Baciu:
Advances in Visual Computing - 15th International Symposium, ISVC 2020, San Diego, CA, USA, October 5-7, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12509, Springer 2020, ISBN 978-3-030-64555-7 [contents] - [e1]George Bebis, Zhaozheng Yin, Edward Kim, Jan Bender, Kartic Subr, Bum Chul Kwon, Jian Zhao, Denis Kalkofen, George Baciu:
Advances in Visual Computing - 15th International Symposium, ISVC 2020, San Diego, CA, USA, October 5-7, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12510, Springer 2020, ISBN 978-3-030-64558-8 [contents] - [i13]Daniel J. Fremont, Edward Kim, Yash Vardhan Pant, Sanjit A. Seshia, Atul Acharya, Xantha Bruso, Paul Wells, Steve Lemke, Qiang Lu, Shalin Mehta:
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World. CoRR abs/2003.07739 (2020) - [i12]Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: A Language for Scenario Specification and Data Generation. CoRR abs/2010.06580 (2020) - [i11]Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon:
The Selectivity and Competition of the Mind's Eye in Visual Perception. CoRR abs/2011.11167 (2020) - [i10]Edward Kim, Connor Onweller, Andrew O'Brien, Kathleen F. McCoy:
The Interpretable Dictionary in Sparse Coding. CoRR abs/2011.11805 (2020) - [i9]Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia:
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. CoRR abs/2011.14551 (2020)
2010 – 2019
- 2019
- [c24]Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. LAW@ACL 2019: 56-64 - [c23]Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
VerifAI: A Toolkit for the Formal Design and Analysis of Artificial Intelligence-Based Systems. CAV (1) 2019: 432-442 - [c22]Edward Kim, Jessica Yarnall, Priya Shah, Garrett T. Kenyon:
A Neuromorphic Sparse Coding Defense to Adversarial Images. ICONS 2019: 12:1-12:8 - [c21]Edward Kim, Barton A. Forman, Lizhao Wang, Jacqueline LeMoigne-Stewart, Sreeja Nag, Sujay Kumar, Carrie Vuyovich, J. Bryan Blair, Michelle A. Hofton:
Space-Time Coverage Scenarios for A Global Snow Satellite Constellation. IGARSS 2019: 5614-5616 - [i8]Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti:
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. CoRR abs/1901.00032 (2019) - [i7]Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems. CoRR abs/1902.04245 (2019) - [i6]Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. CoRR abs/1905.06939 (2019) - [i5]Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling:
Machine-learned metrics for predicting the likelihood of success in materials discovery. CoRR abs/1911.11201 (2019) - [i4]Edward Kim, Divya Gopinath, Corina S. Pasareanu, Sanjit A. Seshia:
A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors. CoRR abs/1912.00289 (2019) - 2018
- [c20]Edward Kim, Kathleen F. McCoy:
Multimodal Deep Learning using Images and Text for Information Graphic Classification. ASSETS 2018: 143-148 - [c19]Sanjit A. Seshia, Ankush Desai, Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Sumukh Shivakumar, Marcell Vazquez-Chanlatte, Xiangyu Yue:
Formal Specification for Deep Neural Networks. ATVA 2018: 20-34 - [c18]Edward Kim, Darryl Hannan, Garrett T. Kenyon:
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. CVPR 2018: 1111-1120 - [i3]Jacob M. Springer, Charles M. S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon:
Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples. CoRR abs/1811.07211 (2018) - 2017
- [j3]Tao Xu, Han Zhang, Cheng Xin, Edward Kim, L. Rodney Long, Zhiyun Xue, Sameer K. Antani, Xiaolei Huang:
Multi-feature based benchmark for cervical dysplasia classification evaluation. Pattern Recognit. 63: 468-475 (2017) - [c17]Koushik Pal, Zissis Poulos, Edward Kim, Andreas G. Veneris:
Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism. ICDM 2017: 151-165 - [i2]Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti:
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures. CoRR abs/1711.06872 (2017) - [i1]Edward Kim, Darryl Hannan, Garrett T. Kenyon:
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. CoRR abs/1711.07998 (2017) - 2016
- [c16]Edward Kim, Shruthika Vangala:
Deep Action Unit classification using a binned intensity loss and semantic context model. ICPR 2016: 4136-4141 - [c15]Edward Kim, Christopher Moritz:
Enhancing the Communication Spectrum in Collaborative Virtual Environments. ISVC (1) 2016: 681-690 - [c14]Edward Kim, Shruthika Vangala:
Vinereactor: Crowdsourced Spontaneous Facial Expression Data. ICMR 2016: 221-224 - 2015
- [j2]Dezhao Song, Edward Kim, Xiaolei Huang, Joseph Patruno, Héctor Muñoz-Avila, Jeff Heflin, L. Rodney Long, Sameer K. Antani:
Multimodal Entity Coreference for Cervical Dysplasia Diagnosis. IEEE Trans. Medical Imaging 34(1): 229-245 (2015) - [c13]Tao Xu, Edward Kim, Xiaolei Huang:
Adjustable adaboost classifier and pyramid features for image-based cervical cancer diagnosis. ISBI 2015: 281-285 - [c12]Tao Xu, Xiaolei Huang, Edward Kim, L. Rodney Long, Sameer K. Antani:
Multi-test cervical cancer diagnosis with missing data estimation. Medical Imaging: Computer-Aided Diagnosis 2015: 94140X - [c11]Tao Xu, Cheng Xin, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Edward Kim, Xiaolei Huang:
A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation. MLMI 2015: 26-35 - [c10]Edward Kim, Zubair Baloch, Caroline Kim:
Computer assisted detection and analysis of tall cell variant papillary thyroid carcinoma in histological images. Medical Imaging: Digital Pathology 2015: 94200A - 2014
- [c9]Scott Bouloutian, Edward Kim:
Artificial Intelligence Gaming Assistant for Google Glass. ISVC (2) 2014: 770-778 - 2012
- [c8]Edward Kim, Hongsheng Li, Xiaolei Huang:
A hierarchical image clustering cosegmentation framework. CVPR 2012: 686-693 - 2011
- [j1]Edward Kim, Xiaolei Huang, Gang Tan:
Markup SVG - An Online Content-Aware Image Abstraction and Annotation Tool. IEEE Trans. Multim. 13(5): 993-1006 (2011) - [c7]Tian Shen, Xiaolei Huang, Hongsheng Li, Edward Kim, Shaoting Zhang, Junzhou Huang:
A 3D Laplacian-driven parametric deformable model. ICCV 2011: 279-286 - [c6]Edward Kim, Xiaolei Huang, Jeff Heflin:
Finding VIPs - A visual image persons search using a content property reasoner and web ontology. ICME 2011: 1-7 - 2010
- [c5]Edward Kim, Tian Shen, Xiaolei Huang:
A parallel cellular automata with label priors for interactive brain tumor segmentation. CBMS 2010: 232-237 - [c4]Hongsheng Li, Edward Kim, Xiaolei Huang, Lei He:
Object matching with a locally affine-invariant constraint. CVPR 2010: 1641-1648
2000 – 2009
- 2008
- [c3]Christian A. Müller, Joan-Isaac Biel, Edward Kim, Daniel Rosario:
Speech-overlapped acoustic event detection for automotive applications. INTERSPEECH 2008: 2590-2593 - 2000
- [c2]Edward Kim, Joyce M. W. Lam, Jiawei Han:
AIM: Approximate Intelligent Matching for Time Series Data. DaWaK 2000: 347-357
1990 – 1999
- 1999
- [c1]Jiawei Han, Qiang Yang, Edward Kim:
Plan Mining by Divide-and-Conquer. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999
Coauthor Index
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