Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning. - Wanjia Liu; Huaijin G. Chen; Rishab Goel; Yuzhong Huang; Ashok Veeraraghavan; Ankit B. Patel (CoRR, 2018)

Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. - Seyed Mehran Kazemi; Rishab Goel; Kshitij Jain 001; Ivan Kobyzev; Akshay Sethi; Peter Forsyth; Pascal Poupart (CoRR, 2019)

Time2Vec: Learning a Vector Representation of Time. - Seyed Mehran Kazemi; Rishab Goel; Sepehr Eghbali; Janahan Ramanan; Jaspreet Sahota; Sanjay Thakur; Stella Wu; Cathal Smyth; Pascal Poupart; Marcus A. Brubaker (CoRR, 2019)

Diachronic Embedding for Temporal Knowledge Graph Completion. - Rishab Goel; Seyed Mehran Kazemi; Marcus A. Brubaker; Pascal Poupart (AAAI, 2020)

Out-of-Sample Representation Learning for Knowledge Graphs. - Marjan Albooyeh; Rishab Goel; Seyed Mehran Kazemi (EMNLP (Findings), 2020)

Out-of-Sample Representation Learning for Multi-Relational Graphs. - Marjan Albooyeh; Rishab Goel; Seyed Mehran Kazemi (CoRR, 2020)

Data-Efficient Reinforcement Learning with Momentum Predictive Representations. - Max Schwarzer; Ankesh Anand; Rishab Goel; R. Devon Hjelm; Aaron C. Courville; Philip Bachman (CoRR, 2020)

Representation Learning for Dynamic Graphs: A Survey. - Seyed Mehran Kazemi; Rishab Goel; Kshitij Jain 001; Ivan Kobyzev; Akshay Sethi; Peter Forsyth; Pascal Poupart (J. Mach. Learn. Res., 2020)

Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition. - Huaijin G. Chen; Wanjia Liu; Rishab Goel; Rhonald C. Lua; Siddharth Mittal; Yuzhong Huang; Ashok Veeraraghavan; Ankit B. Patel (IEEE Trans. Computational Imaging, 2020)

Data-Efficient Reinforcement Learning with Self-Predictive Representations. - Max Schwarzer; Ankesh Anand; Rishab Goel; R. Devon Hjelm; Aaron C. Courville; Philip Bachman (ICLR, 2021)

Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning. - Arsène Fansi Tchango; Rishab Goel; Julien Martel; Zhi Wen; Gaétan Marceau-Caron; Joumana Ghosn (NeurIPS, 2022)

DDXPlus: A New Dataset For Automatic Medical Diagnosis. - Arsène Fansi Tchango; Rishab Goel; Zhi Wen; Julien Martel; Joumana Ghosn (NeurIPS, 2022)

DDXPlus: A new Dataset for Medical Automatic Diagnosis. - Arsène Fansi Tchango; Zhi Wen; Rishab Goel; Joumana Ghosn (CoRR, 2022)

GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs. - Marios Papachristou; Rishab Goel; Frank Portman; Matthew Miller; Rong Jin (CoRR, 2022)

Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. - David Bieber; Rishab Goel; Daniel Zheng; Hugo Larochelle; Daniel Tarlow (ICLR, 2023)