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EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting


Apr 14, 2022
Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim

* 5 pages, 2 figures, 2 tables 

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Perception Over Time: Temporal Dynamics for Robust Image Understanding


Mar 11, 2022
Maryam Daniali, Edward Kim


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Querying Labelled Data with Scenario Programs for Sim-to-Real Validation


Dec 01, 2021
Edward Kim, Jay Shenoy, Sebastian Junges, Daniel Fremont, Alberto Sangiovanni-Vincentelli, Sanjit Seshia

* pre-print 

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A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation


Nov 14, 2021
Francis Indaheng, Edward Kim, Kesav Viswanadha, Jay Shenoy, Jinkyu Kim, Daniel J. Fremont, Sanjit A. Seshia

* Accepted to the NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving 

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Multi-Agent Algorithmic Recourse


Oct 01, 2021
Andrew O'Brien, Edward Kim

* Preliminary workshop version; work in progress 

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Addressing the IEEE AV Test Challenge with Scenic and VerifAI


Aug 20, 2021
Kesav Viswanadha, Francis Indaheng, Justin Wong, Edward Kim, Ellen Kalvan, Yash Pant, Daniel J. Fremont, Sanjit A. Seshia

* Accepted to the IEEE AITest Conference 2021 

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Parallel and Multi-Objective Falsification with Scenic and VerifAI


Jul 09, 2021
Kesav Viswanadha, Edward Kim, Francis Indaheng, Daniel J. Fremont, Sanjit A. Seshia


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Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments


Jun 18, 2021
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia

* First two authors contributed equally. Currently Under Review 

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ATRAS: Adversarially Trained Robust Architecture Search


Jun 13, 2021
Yigit Alparslan, Edward Kim

* 9 pages, 2 figures, 2 tables 

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Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network


Apr 18, 2021
Ethan Moyer, Jeff Winchell, Isamu Isozaki, Yigit Alparslan, Mali Halac, Edward Kim

* 4 pages, 1 figure, 1 table 

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Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks


Mar 09, 2021
Yigit Alparslan, Edward Kim

* 12 pages, 4 figures 

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Robust SleepNets


Feb 24, 2021
Yigit Alparslan, Edward Kim

* 9 pages, 10 figures 

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Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures


Jan 16, 2021
Yigit Alparslan, Ethan Jacob Moyer, Edward Kim

* 8 pages, 18 figures 

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Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems


Jan 16, 2021
Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim

* 8 pages, 11 figures 

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A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving


Nov 30, 2020
Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel Fremont, Alberto Sangiovanni-Vincentelli, Sanjit Seshia


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The Interpretable Dictionary in Sparse Coding


Nov 24, 2020
Edward Kim, Connor Onweller, Andrew O'Brien, Kathleen McCoy


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The Selectivity and Competition of the Mind's Eye in Visual Perception


Nov 23, 2020
Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon

* 8 pages, submitted to CVPR 2021 

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Scenic: A Language for Scenario Specification and Data Generation


Oct 13, 2020
Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia

* Supercedes arXiv:1809.09310 

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Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World


Mar 17, 2020
Daniel J. Fremont, Edward Kim, Yash Vardhan Pant, Sanjit A. Seshia, Atul Acharya, Xantha Bruso, Paul Wells, Steve Lemke, Qiang Lu, Shalin Mehta

* 9 pages 

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A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors


Dec 01, 2019
Edward Kim, Divya Gopinath, Corina Pasareanu, Sanjit Seshia


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Machine-learned metrics for predicting the likelihood of success in materials discovery


Nov 27, 2019
Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling

* 13 pages, 10 figures, 2 tables 

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Machine-learned metrics for predicting thelikelihood of success in materials discovery


Nov 25, 2019
Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling

* 13 pages, 10 figures, 2 tables 

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The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures


May 16, 2019
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti

* Accepted as a long paper at the Linguistic Annotation Workshop (LAW) at ACL 2019 

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VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems


Feb 14, 2019
Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, Sanjit A. Seshia


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Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks


Dec 31, 2018
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti


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Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples


Nov 20, 2018
Jacob M. Springer, Charles S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon

* 8 pages, 8 figures, fixed typos 

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Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons


Jun 12, 2018
Edward Kim, Darryl Hannan, Garrett Kenyon


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Automatically Extracting Action Graphs from Materials Science Synthesis Procedures


Nov 28, 2017
Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti

* NIPS Workshop on Machine Learning for Molecules and Materials 

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