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Rishab Goel
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2020 – today
- 2023
- [c6]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 - 2022
- [c5]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 - [c4]Arsène Fansi Tchango, Rishab Goel, Zhi Wen, Julien Martel, Joumana Ghosn:
DDXPlus: A New Dataset For Automatic Medical Diagnosis. NeurIPS 2022 - [i10]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 abs/2203.03771 (2022) - [i9]Arsène Fansi Tchango, Zhi Wen, Rishab Goel, Joumana Ghosn:
DDXPlus: A new Dataset for Medical Automatic Diagnosis. CoRR abs/2205.09148 (2022) - [i8]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 abs/2210.07198 (2022) - [i7]Marios Papachristou, Rishab Goel, Frank Portman, Matthew Miller, Rong Jin:
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs. CoRR abs/2211.00550 (2022) - 2021
- [c3]Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman:
Data-Efficient Reinforcement Learning with Self-Predictive Representations. ICLR 2021 - 2020
- [j2]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: 70:1-70:73 (2020) - [j1]Huaijin G. Chen
, Wanjia Liu, Rishab Goel, Rhonald C. Lua
Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition. IEEE Trans. Computational Imaging 6: 276-290 (2020) - [c2]Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker
Diachronic Embedding for Temporal Knowledge Graph Completion. AAAI 2020: 3988-3995 - [c1]Marjan Albooyeh
Out-of-Sample Representation Learning for Knowledge Graphs. EMNLP (Findings) 2020: 2657-2666 - [i6]Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi:
Out-of-Sample Representation Learning for Multi-Relational Graphs. CoRR abs/2004.13230 (2020) - [i5]Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman:
Data-Efficient Reinforcement Learning with Momentum Predictive Representations. CoRR abs/2007.05929 (2020)
2010 – 2019
- 2019
- [i4]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 abs/1905.11485 (2019) - [i3]Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Pascal Poupart:
Diachronic Embedding for Temporal Knowledge Graph Completion. CoRR abs/1907.03143 (2019) - [i2]Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus A. Brubaker:
Time2Vec: Learning a Vector Representation of Time. CoRR abs/1907.05321 (2019) - 2018
- [i1]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 abs/1805.06374 (2018)
Coauthor Index
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