Ramadge, Peter J.

13 publications

NeurIPS 2022 KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation Ta-Chung Chi, Ting-Han Fan, Peter J Ramadge, Alexander Rudnicky

NeurIPS 2022 Learning Physics Constrained Dynamics Using Autoencoders Tsung-Yen Yang, Justinian P. Rosca, Karthik Narasimhan, Peter J Ramadge

ICML 2022 Training Discrete Deep Generative Models via Gapped Straight-Through Estimator Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky, Peter J Ramadge

ICML 2021 Accelerating Safe Reinforcement Learning with Constraint-Mismatched Baseline Policies Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J Ramadge

NeurIPS 2021 Safe Reinforcement Learning with Natural Language Constraints Tsung-Yen Yang, Michael Y Hu, Yinlam Chow, Peter J Ramadge, Karthik Narasimhan

ICLR 2020 Projection-Based Constrained Policy Optimization Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

NeurIPS 2020 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters Sulin Liu, Xingyuan Sun, Peter J. Ramadge, Ryan P. Adams

AISTATS 2018 Transfer Learning on fMRI Datasets Hejia Zhang, Po-Hsuan Chen, Peter J. Ramadge

NeurIPS 2015 A Reduced-Dimension fMRI Shared Response Model Po-Hsuan Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James Haxby, Peter J. Ramadge

NeurIPS 2012 Kernel Hyperalignment Alexander Lorbert, Peter J. Ramadge

NeurIPS 2011 Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries Zhen J. Xiang, Hao Xu, Peter J. Ramadge

NeurIPS 2009 Boosting with Spatial Regularization Yongxin Xi, Uri Hasson, Peter J. Ramadge, Zhen J. Xiang

NeurIPS 2009 fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity Bryan Conroy, Ben Singer, James Haxby, Peter J. Ramadge