219 citations · 287 across the 20 of their papers we have counts for
8 papers · 1 filter
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…
Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures
Yigit Alparslan, Ethan Jacob Moyer, Edward Kim
Architecture sizes for neural networks have been studied widely and several search methods have been offered to find the best architecture size in the shortest amount of time possi…
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki +4
In recent years, deep neural networks have had great success in machine learning and pattern recognition. Architecture size for a neural network contributes significantly to the su…