21 citations · 48 across the 15 of their papers we have counts for
19 papers
Multi-Agent Algorithmic Recourse
Andrew O'Brien, Edward Kim
The recent adoption of machine learning as a tool in real world decision making has spurred interest in understanding how these decisions are being made. Counterfactual Explanation…
Parallel and Multi-Objective Falsification with Scenic and VerifAI
Kesav Viswanadha, Edward Kim, Francis Indaheng +2
Falsification has emerged as an important tool for simulation-based verification of autonomous systems. In this paper, we present extensions to the Scenic scenario specification la…
ATRAS: Adversarially Trained Robust Architecture Search
Yigit Alparslan, Edward Kim
In this paper, we explore the effect of architecture completeness on adversarial robustness. We train models with different architectures on CIFAR-10 and MNIST dataset. For each mo…
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network
Ethan Moyer, Jeff Winchell, Isamu Isozaki +3
Identifying novel functional protein structures is at the heart of molecular engineering and molecular biology, requiring an often computationally exhaustive search. We introduce t…
Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks
Yigit Alparslan, Edward Kim
The beginning of 2021 saw a surge in volatility for certain stocks such as GameStop company stock (Ticker GME under NYSE). GameStop stock increased around 10 fold from its decade-l…
Robust SleepNets
Yigit Alparslan, Edward Kim
State-of-the-art convolutional neural networks excel in machine learning tasks such as face recognition, and object classification but suffer significantly when adversarial attacks…