Pascal Poupart

Pascal Poupart

University of Waterloo

H-index: 51

North America-Canada

About Pascal Poupart

Pascal Poupart, With an exceptional h-index of 51 and a recent h-index of 36 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Artificial Intelligence, Machine Learning, Reinforcement Learning, Federated Learning, NLP.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?

A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization

Why Online Reinforcement Learning is Causal

Methods, systems, and media for one-round federated learning with predictive space bayesian inference

Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations

Batchnorm Allows Unsupervised Radial Attacks

Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks

An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient

Pascal Poupart Information

University

Position

___

Citations(all)

9259

Citations(since 2020)

4548

Cited By

6391

hIndex(all)

51

hIndex(since 2020)

36

i10Index(all)

117

i10Index(since 2020)

81

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Pascal Poupart Skills & Research Interests

Artificial Intelligence

Machine Learning

Reinforcement Learning

Federated Learning

NLP

Top articles of Pascal Poupart

Title

Journal

Author(s)

Publication Date

A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?

arXiv preprint arXiv:2402.05015

Agustinus Kristiadi

Felix Strieth-Kalthoff

Marta Skreta

Pascal Poupart

Alán Aspuru-Guzik

...

2024/2/7

A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization

arXiv preprint arXiv:2403.11062

Yudong Luo

Yangchen Pan

Han Wang

Philip Torr

Pascal Poupart

2024/3/17

Why Online Reinforcement Learning is Causal

arXiv preprint arXiv:2403.04221

Oliver Schulte

Pascal Poupart

2024/3/7

Methods, systems, and media for one-round federated learning with predictive space bayesian inference

2024/1/4

Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations

Advances in Neural Information Processing Systems

Guanren Qiao

Guiliang Liu

Pascal Poupart

Zhiqiang Xu

2024/2/13

Batchnorm Allows Unsupervised Radial Attacks

Advances in Neural Information Processing Systems

Amur Ghose

Apurv Gupta

Yaoliang Yu

Pascal Poupart

2024/2/13

Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks

Ahmad Rashid

Serena Hacker

Guojun Zhang

Agustinus Kristiadi

Pascal Poupart

2024/4/18

An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient

Advances in Neural Information Processing Systems

Yudong Luo

Guiliang Liu

Pascal Poupart

Yangchen Pan

2024/2/13

Calibrated one round federated learning with bayesian inference in the predictive space

Proceedings of the AAAI conference on artificial intelligence

Mohsin Hasan

Guojun Zhang

Kaiyang Guo

Xi Chen

Pascal Poupart

2024/3/24

Defensive Collaborative Learning: Protecting Objective Privacy in Data Sharing.

Cynthia Huang

Pascal Poupart

2023/5/30

System and method for bi-directional translation using sum-product networks

2023/2/21

Contrastive Deterministic Autoencoders For Language Modeling

Amur Ghose

Pascal Poupart

2023/12

Systems and methods to learn constraints from expert demonstrations

2023/11/23

Attribute controlled dialogue prompting

arXiv preprint arXiv:2307.05228

Runcheng Liu

Ahmad Rashid

Ivan Kobyzev

Mehdi Rezagholizadeh

Pascal Poupart

2023/7/11

Geometric attacks on batch normalization

Amur Ghose

Apurv Gupta

Yaoliang Yu

Pascal Poupart

2022/11/18

Do we need Label Regularization to Fine-tune Pre-trained Language Models?

arXiv preprint arXiv:2205.12428

Ivan Kobyzev

Aref Jafari

Mehdi Rezagholizadeh

Tianda Li

Alan Do-Omri

...

2022/5/25

Linearizing contextual bandits with latent state dynamics

Elliot Nelson

Debarun Bhattacharjya

Tian Gao

Miao Liu

Djallel Bouneffouf

...

2022/8/17

WatClaimCheck: A new dataset for claim entailment and inference

Kashif Khan

Ruizhe Wang

Pascal Poupart

2022/5

Robust One Round Federated Learning with Predictive Space Bayesian Inference

arXiv preprint arXiv:2206.09526

Mohsin Hasan

Zehao Zhang

Kaiyang Guo

Mahdi Karami

Guojun Zhang

...

2022/6/20

Learning functions on multiple sets using multi-set transformers

Kira A Selby

Ahmad Rashid

Ivan Kobyzev

Mehdi Rezagholizadeh

Pascal Poupart

2022/8/17

See List of Professors in Pascal Poupart University(University of Waterloo)