Rishab Goel

According to our database, Rishab Goel authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions.

David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs.

Marios Papachristou, Rishab Goel, Frank Portman, Matthew Miller, Rong Jin

CoRR, 2022

DDXPlus: A new Dataset for Medical Automatic Diagnosis.

Arsène Fansi Tchango, Zhi Wen, Rishab Goel, Joumana Ghosn

CoRR, 2022

DDXPlus: A New Dataset For Automatic Medical Diagnosis.

Arsène Fansi Tchango, Rishab Goel, Zhi Wen, Julien Martel, Joumana Ghosn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Data-Efficient Reinforcement Learning with Self-Predictive Representations.

Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Representation Learning for Dynamic Graphs: A Survey.

Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart

J. Mach. Learn. Res., 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

Out-of-Sample Representation Learning for Multi-Relational Graphs.

Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi

CoRR, 2020

Out-of-Sample Representation Learning for Knowledge Graphs.

Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Diachronic Embedding for Temporal Knowledge Graph Completion.

Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey.

Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart

CoRR, 2019

2018

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