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20172022
most citedThe Limitations of Adversarial Training and the Blind-Spot Attack

60 citations · 173 across the 8 of their papers we have counts for

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Showing cs.LGShow all

9 papers · 1 filter

cs.LG20229 cited

FreDo: Frequency Domain-based Long-Term Time Series Forecasting

Fan-Keng Sun, Duane S. Boning

The ability to forecast far into the future is highly beneficial to many applications, including but not limited to climatology, energy consumption, and logistics. However, due to…

cs.LG202146 cited

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Huan Zhang, Hongge Chen, Duane Boning +1

We study the robustness of reinforcement learning (RL) with adversarially perturbed state observations, which aligns with the setting of many adversarial attacks to deep reinforcem…

cs.LG2021

Adjusting for Autocorrelated Errors in Neural Networks for Time Series

Fan-Keng Sun, Christopher I. Lang, Duane S. Boning

An increasing body of research focuses on using neural networks to model time series. A common assumption in training neural networks via maximum likelihood estimation on time seri…

cs.LG20201 cited

On -norm Robustness of Ensemble Stumps and Trees

Yihan Wang, Huan Zhang, Hongge Chen +2

Recent papers have demonstrated that ensemble stumps and trees could be vulnerable to small input perturbations, so robustness verification and defense for those models have become…

cs.LG20204 cited

Multi-Stage Influence Function

Hongge Chen, Si Si, Yang Li +4

Multi-stage training and knowledge transfer, from a large-scale pretraining task to various finetuning tasks, have revolutionized natural language processing and computer vision re…

cs.LG2020

Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network

Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun +2

We propose a recurrent neural network for a "model-free" simulation of a dynamical system with unknown parameters without prior knowledge. The deep learning model aims to jointly l…