Devansh Arpit

Principal Researcher, Modelable AI

Joined

November 2017

Names

Devansh Arpit

Emails

****@gmail.com (Confirmed)

****@umontreal.ca (Confirmed)

****@buffalo.edu (Confirmed)

****@salesforce.com (Confirmed)

****@vanilabs.com (Confirmed)

****@modelable.ai (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Principal Researcher

Modelable AI (modelable.ai)

2024 – Present

Senior Research Scientist

Salesforce Research (salesforce.com)

2019 – 2023

Postdoc

University of Montreal (umontreal.ca)

2016 – 2019

PhD student

State University of New York, Buffalo (buffalo.edu)

2012 – 2016

Advisors, Relations & Conflicts

Supervisor

Yoshua Bengio

2016 – 2019

PhD Advisor

Venu Govindaraju

2012 – 2016

Coauthor

Yun Fu

2011 – 2014

Coauthor

Ifeoma Nwogu

2011 – 2014

Coauthor

Shuang Wu

2011 – 2014

Coauthor

Anoop Namboodiri

2011 – 2014

Coauthor

Venu Govindaraju

2011 – 2014

Expertise

Deep learning

recurrent networks

machine learning

2014 – Present

Publications

BOLAA: BENCHMARKING AND ORCHESTRATING LLM AUTONOMOUS AGENTS
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh R N, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese
- LLMAgents @ ICLR 2024 Poster
- Readers: Everyone
REX: Rapid Exploration and eXploitation for AI agents
Rithesh R N, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese
- LLMAgents @ ICLR 2024 Poster
- Readers: Everyone
REX: Rapid Exploration and eXploitation for AI agents
Rithesh R N, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese
- Submitted to ICLR 2024
- Readers: Everyone
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R N, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese
- ICLR 2024 spotlight
- Readers: Everyone
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
Devansh Arpit, Aadyot Bhatnagar, Huan Wang, Caiming Xiong
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace, Devansh Arpit, Huan Wang, Caiming Xiong
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
Stanislaw Kamil Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, richard socher, Kyunghyun Cho, Krzysztof J. Geras
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Neural Bayes: A Generic Parameterization Method for Unsupervised Learning
Devansh Arpit, Huan Wang, Caiming Xiong, richard socher, Yoshua Bengio
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Momentum Contrastive Autoencoder
Devansh Arpit, Aadyot Bhatnagar, Huan Wang, Caiming Xiong
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

View all 16 publications

Co-Authors

View all 47 co-authors