Edward Kim

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 97

Top Venues

Publications

Eric Plitman, Edward Kim, Rajesh Patel, Seema Kohout, Rongyu Jin, Vincent Chan, Michael Dinsmore
Development of an Automated and Scalable Virtual Assistant to Aid in PPE Adherence: A Study with Implications for Applications within Anesthesiology. J. Medical Syst. 48 (1) (2024)
Edward Kim
Nevermind: Instruction Override and Moderation in Large Language Models. CoRR (2024)
Bahareh Shakibajahromi, Edward Kim, David E. Breen
RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification. WACV (2024)
Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data. CoRR (2024)
Edward Kim, Isamu Isozaki, Naomi Sirkin, Michael Robson
Generative Artificial Intelligence Consensus in a Trustless Network. CoRR (2023)
Eric Vin, Shun Kashiwa, Matthew Rhea, Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. CoRR (2023)
Xiangyun Lei, Edward Kim, Viktoriia Baibakova, Shijing Sun
Lessons in Reproducibility: Insights from NLP Studies in Materials Science. CoRR (2023)
Andrew O'Brien, Rosina Weber, Edward Kim
Investigating SINDy as a Tool for Causal Discovery in Time Series Signals. ICASSP (2023)
Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew Stamm, Kaidi Xu
Semantic Adversarial Attacks via Diffusion Models. CoRR (2023)
Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. AAAI (2023)
Satvik Tripathi, Alisha Isabelle Augustin, Farouk Dako, Edward Kim
Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imaging. AI Ethics 3 (4) (2023)
Eric Vin, Shun Kashiwa, Matthew Rhea, Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. CAV (1) (2023)
Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation. CoRR (2023)
Maryam Daniali, Edward Kim
Perception Over Time: Temporal Dynamics for Robust Image Understanding. CVPR Workshops (2023)
Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu
Semantic Adversarial Attacks via Diffusion Models. BMVC (2023)
Michael Shenoda, Edward Kim
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models. CoRR (2023)
Edward Kim, Yohan Karunanayake, Hanna Kurniawati
Reference-Based POMDPs. NeurIPS (2023)
Maryam Daniali, Peter D. Galer, David Lewis-Smith, Shridhar Parthasarathy, Edward Kim, Dario D. Salvucci, Jeffrey M. Miller, Scott Haag, Ingo Helbig
Enriching representation learning using 53 million patient notes through human phenotype ontology embedding. Artif. Intell. Medicine 139 (2023)
Meriem Boubdir, Edward Kim, Beyza Ermis, Marzieh Fadaee, Sara Hooker
Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation. CoRR (2023)
Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven Nesbit, Garrett T. Kenyon, Yijing Watkins
Dictionary Learning with Accumulator Neurons. ICONS (2022)
Steven C. Nesbit, Andrew O'Brien, Jocelyn Rego, Gavin Parpart, Carlos González Rivera, Garrett T. Kenyon, Edward Kim, Terrence C. Stewart, Yijing Watkins
Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks. ICONS (2022)
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning. AAAI (2022)
Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting. CoRR (2022)
Andrew O'Brien, Edward Kim
Toward Multi-Agent Algorithmic Recourse Challenges From a Game-Theoretic Perspective. FLAIRS (2022)
Sanaz Sheikhi, Edward Kim, Parasara Sridhar Duggirala, Stanley Bak
Coverage-Guided Fuzz Testing for Cyber-Physical Systems. ICCPS (2022)
Edward Kim, Tobias Andersen, Marventus, Justin Tabish, A. E., Pedro Borges, David Schmidt, Matthew Western
Emergency Management and Recovery of Luna Classic. CoRR (2022)
Connor Onweller, Andrew O'Brien, Edward Kim, Kathleen F. McCoy
Distributional Semantics of Line Charts for Trend Classification. ISVC (2) (2022)
Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. ICCPS (2022)
Maryam Daniali, Edward Kim
Perception Over Time: Temporal Dynamics for Robust Image Understanding. CoRR (2022)
Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins
Dictionary Learning with Accumulator Neurons. CoRR (2022)
Edward Kim, Trang Ha, Garrett T. Kenyon
Sparse Kernel Transfer Learning. ISVC (2) (2022)
Luca Geretti, Julien Alexandre Dit Sandretto, Matthias Althoff, Luis Benet, Pieter Collins, Parasara Sridhar Duggirala, Marcelo Forets, Edward Kim, Stefan Mitsch, Christian Schilling, Mark Wetzlinger
ARCH-COMP22 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics. ARCH@SAFECOMP (2022)
Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. CoRR (2022)
Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Demo: Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. ICCPS (2022)
Edward Kim
Recent RFI-Related Developments from a NOAA Leo Perspective. IGARSS (2022)
Andrew O'Brien, Rosina Weber, Edward Kim
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals. CoRR (2022)
Edward Kim, Albert Wu, Hessam Izadkhah, Saji Abraham
100-Meter Resolution Soil Moisture - A European Airborne Campaign Using Nasa Goddard's Scanning L-Band Active Passive (Slap). IGARSS (2022)
Kesav Viswanadha, Francis Indaheng, Justin Wong, Edward Kim, Ellen Kalvan, Yash Pant, Daniel J. Fremont, Sanjit A. Seshia
Addressing the IEEE AV Test Challenge with Scenic and VerifAI. CoRR (2021)
Kesav Viswanadha, Francis Indaheng, Justin Wong, Edward Kim, Ellen Kalvan, Yash Pant, Daniel J. Fremont, Sanjit A. Seshia
Addressing the IEEE AV Test Challenge with Scenic and VerifAI. AITest (2021)
Edward Kim, Stanley Bak, Parasara Sridhar Duggirala
Automatic Dynamic Parallelotope Bundles for Reachability Analysis of Nonlinear Systems. FORMATS (2021)
Kesav Viswanadha, Edward Kim, Francis Indaheng, Daniel J. Fremont, Sanjit A. Seshia
Parallel and Multi-objective Falsification with Scenic and VerifAI. RV (2021)
Andrew O'Brien, Edward Kim
Multi-Agent Algorithmic Recourse. CoRR (2021)
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments. CoRR (2021)
Kesav Viswanadha, Edward Kim, Francis Indaheng, Daniel J. Fremont, Sanjit A. Seshia
Parallel and Multi-Objective Falsification with Scenic and VerifAI. CoRR (2021)
Yigit Alparslan, Ethan Jacob Moyer, Edward Kim
Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures. CoRR (2021)
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. IJCNN (2021)
Yigit Alparslan, Edward Kim
ATRAS: Adversarially Trained Robust Architecture Search. CoRR (2021)
Edward Kim, Stanley Bak, Parasara Sridhar Duggirala
Automatic Dynamic Parallelotope Bundles for Reachability Analysis of Nonlinear Systems. CoRR (2021)
Ethan Jacob Moyer, Jeff Winchell, Isamu Isozaki, Yigit Alparslan, Mali Halac, Edward Kim
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network. CoRR (2021)
Luca Geretti, Julien Alexandre Dit Sandretto, Matthias Althoff, Luis Benet, Alexandre Chapoutot, Pieter Collins, Parasara Sridhar Duggirala, Marcelo Forets, Edward Kim, Uziel Linares, David P. Sanders, Christian Schilling, Mark Wetzlinger
ARCH-COMP21 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics. ARCH@ADHS (2021)
Nathalie Rauschmayr, Vikas Kumar, Rahul Huilgol, Andrea Olgiati, Satadal Bhattacharjee, Nihal Harish, Vandana Kannan, Amol Lele, Anirudh Acharya, Jared Nielsen, Lakshmi Ramakrishnan, Ishan Bhatt, Kohen Chia, Neelesh Dodda, Zhihan Li, Jiacheng Gu, Miyoung Choi, Balajee Nagarajan, Jeffrey Geevarghese, Denis Davydenko, Sifei Li, Lu Huang, Edward Kim, Tyler Hill, Krishnaram Kenthapadi
Amazon SageMaker Debugger: A System for Real-Time Insights into Machine Learning Model Training. MLSys (2021)
Yigit Alparslan, Edward Kim
Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks. CoRR (2021)
Nicki Barari, Edward Kim
Linking Sparse Coding Dictionaries for Representation Learning. ICRC (2021)
Francis Indaheng, Edward Kim, Kesav Viswanadha, Jay Shenoy, Jinkyu Kim, Daniel J. Fremont, Sanjit A. Seshia
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation. CoRR (2021)
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 (2021)
Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. CoRR (2021)
Yigit Alparslan, Edward Kim
Robust SleepNets. CoRR (2021)
Edward Kim, Connor Onweller, Andrew O'Brien, Kathleen F. McCoy
The Interpretable Dictionary in Sparse Coding. CoRR (2020)
Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
The Selectivity and Competition of the Mind's Eye in Visual Perception. CoRR (2020)
Jacquelynne Houts, Edward Kim
The Spectrum Outlook for Earth Remote Sensing Post WRC-19. IGARSS (2020)
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)
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 (2020)
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 (2020)
Edward Kim, Connor Onweller, Kathleen F. McCoy
Information Graphic Summarization using a Collection of Multimodal Deep Neural Networks. ICPR (2020)
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)
John Carter, Jocelyn Rego, Daniel Schwartz, Vikas Bhandawat, Edward Kim
Learning Spiking Neural Network Models of Drosophila Olfaction. ICONS (2020)
Edward Kim, Joshua Sterner, Afra Mashhadi
A Crowd-Sourced Obstacle Detection and Navigation App for Visually Impaired. SmartCity360° (2020)
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)
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 (2020)
Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon
Modeling Biological Immunity to Adversarial Examples. CVPR (2020)
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) (2020)
Daniel Schwartz, Yigit Alparslan, Edward Kim
Regularization and Sparsity for Adversarial Robustness and Stable Attribution. ISVC (1) (2020)
Edward Kim, Parasara Sridhar Duggirala
Kaa: A Python Implementation of Reachable Set Computation Using Bernstein Polynomials. ARCH (2020)
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 (2019)
Edward Kim, Jessica Yarnall, Priya Shah, Garrett T. Kenyon
A Neuromorphic Sparse Coding Defense to Adversarial Images. ICONS (2019)
Edward Kim, Divya Gopinath, Corina S. Pasareanu, Sanjit A. Seshia
A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors. CoRR (2019)
Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling
Machine-learned metrics for predicting the likelihood of success in materials discovery. CoRR (2019)
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)
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 (2019)
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)
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 (2019)
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 (2018)
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)
Edward Kim, Darryl Hannan, Garrett T. Kenyon
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. CVPR (2018)
Edward Kim, Kathleen F. McCoy
Multimodal Deep Learning using Images and Text for Information Graphic Classification. ASSETS (2018)
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 (2017)
Koushik Pal, Zissis Poulos, Edward Kim, Andreas G. Veneris
Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism. ICDM (2017)
Edward Kim, Darryl Hannan, Garrett T. Kenyon
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. CoRR (2017)
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 (2017)
Edward Kim, Shruthika Vangala
Deep Action Unit classification using a binned intensity loss and semantic context model. ICPR (2016)
Edward Kim, Christopher Moritz
Enhancing the Communication Spectrum in Collaborative Virtual Environments. ISVC (1) (2016)
Edward Kim, Shruthika Vangala
Vinereactor: Crowdsourced Spontaneous Facial Expression Data. ICMR (2016)
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)
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) (2015)
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)
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)
Tao Xu, Edward Kim, Xiaolei Huang
Adjustable adaboost classifier and pyramid features for image-based cervical cancer diagnosis. ISBI (2015)
Scott Bouloutian, Edward Kim
Artificial Intelligence Gaming Assistant for Google Glass. ISVC (2) (2014)
Edward Kim, Hongsheng Li, Xiaolei Huang
A hierarchical image clustering cosegmentation framework. CVPR (2012)
Edward Kim, Xiaolei Huang, Jeff Heflin
Finding VIPs - A visual image persons search using a content property reasoner and web ontology. ICME (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Edward Kim