Rishab Goel

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Automatic Diagnosis

Vector Representation

Top Venues

IEEE Trans. Computational Imaging

Publications

David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. ICLR (2023)
Arsène Fansi Tchango, Rishab Goel, Zhi Wen, Julien Martel, Joumana Ghosn
DDXPlus: A New Dataset For Automatic Medical Diagnosis. NeurIPS (2022)
Arsène Fansi Tchango, Zhi Wen, Rishab Goel, Joumana Ghosn
DDXPlus: A new Dataset for Medical Automatic Diagnosis. CoRR (2022)
Arsène Fansi Tchango, Rishab Goel, Julien Martel, Zhi Wen, Gaétan Marceau-Caron, Joumana Ghosn
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning. NeurIPS (2022)
Arsène Fansi Tchango, Rishab Goel, Julien Martel, Zhi Wen, Gaétan Marceau-Caron, Joumana Ghosn
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning. CoRR (2022)
Marios Papachristou, Rishab Goel, Frank Portman, Matthew Miller, Rong Jin
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs. CoRR (2022)
David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. CoRR (2022)
Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman
Data-Efficient Reinforcement Learning with Self-Predictive Representations. ICLR (2021)
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart
Diachronic Embedding for Temporal Knowledge Graph Completion. AAAI (2020)
Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi
Out-of-Sample Representation Learning for Multi-Relational Graphs. CoRR (2020)
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart
Representation Learning for Dynamic Graphs: A Survey. J. Mach. Learn. Res. 21 (2020)
Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman
Data-Efficient Reinforcement Learning with Momentum Predictive Representations. CoRR (2020)
Huaijin G. Chen, Wanjia Liu, Rishab Goel, Rhonald C. Lua, Siddharth Mittal, Yuzhong Huang, Ashok Veeraraghavan, Ankit B. Patel
Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition. IEEE Trans. Computational Imaging 6 (2020)
Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi
Out-of-Sample Representation Learning for Knowledge Graphs. EMNLP (Findings) (2020)
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart
Diachronic Embedding for Temporal Knowledge Graph Completion. CoRR (2019)
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus Brubaker
Time2Vec: Learning a Vector Representation of Time. CoRR (2019)
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. CoRR (2019)
Wanjia Liu, Huaijin G. Chen, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit B. Patel
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning. CoRR (2018)