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Found 7 papers, 1 papers with code
Traversing the Local Polytopes of ReLU Neural Networks
Our polytope traversing algorithm can be adapted to a wide range of applications related to robustness and interpretability.
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification
Although neural networks (NNs) with ReLU activation functions have found success in a wide range of applications, their adoption in risk-sensitive settings has been limited by the concerns on robustness and interpretability.
Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons
Principal component analysis (PCA) is a well-known linear dimension-reduction method that has been widely used in data analysis and modeling.
Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response
We demonstrate an application of risk-sensitive reinforcement learning to optimizing execution in limit order book markets.
Appearance-based Gesture recognition in the compressed domain
We propose a novel appearance-based gesture recognition algorithm using compressed domain signal processing techniques.
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables
Deep learning models have significantly improved the visual quality and accuracy on compressive sensing recovery.
A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture Detection
In this paper we propose an energy-efficient camera-based gesture recognition system powered by light energy for "always on" applications.
