158 citations · 285 across the 57 of their papers we have counts for
4 papers · 2 filters
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Yunshi Wen, Tengfei Ma, Tsui-Wei Weng +2
In time-series analysis, many recent works seek to provide a unified view and representation for time-series across multiple domains, leading to the development of foundation model…
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
Chung-En Sun, Sicun Gao, Tsui-Wei Weng
Robustness remains a paramount concern in deep reinforcement learning (DRL), with randomized smoothing emerging as a key technique for enhancing this attribute. However, a notable…
Linear Explanations for Individual Neurons
Tuomas Oikarinen, Tsui-Wei Weng
In recent years many methods have been developed to understand the internal workings of neural networks, often by describing the function of individual neurons in the model. Howeve…
Provably Robust Conformal Prediction with Improved Efficiency
Ge Yan, Yaniv Romano, Tsui-Wei Weng
Conformal prediction is a powerful tool to generate uncertainty sets with guaranteed coverage using any predictive model, under the assumption that the training and test data are i…