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:

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

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

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

Why Online Reinforcement Learning is Causal

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

Batchnorm Allows Unsupervised Radial Attacks

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

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

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

Google Scholar

Pascal Poupart Skills & Research Interests

Artificial Intelligence

Machine Learning

Reinforcement Learning

Federated Learning

NLP

Top articles of Pascal Poupart

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

2024/4/18

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

Proceedings of the AAAI conference on artificial intelligence

2024/3/24

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

arXiv preprint arXiv:2403.11062

2024/3/17

Why Online Reinforcement Learning is Causal

arXiv preprint arXiv:2403.04221

2024/3/7

Pascal Poupart
Pascal Poupart

H-Index: 32

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

Advances in Neural Information Processing Systems

2024/2/13

Batchnorm Allows Unsupervised Radial Attacks

Advances in Neural Information Processing Systems

2024/2/13

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

Advances in Neural Information Processing Systems

2024/2/13

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

arXiv preprint arXiv:2402.05015

2024/2/7

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

2024/1/4

Contrastive Deterministic Autoencoders For Language Modeling

2023/12

Amur Ghose
Amur Ghose

H-Index: 1

Pascal Poupart
Pascal Poupart

H-Index: 32

Systems and methods to learn constraints from expert demonstrations

2023/11/23

Attribute controlled dialogue prompting

arXiv preprint arXiv:2307.05228

2023/7/11

Pascal Poupart
Pascal Poupart

H-Index: 32

Defensive Collaborative Learning: Protecting Objective Privacy in Data Sharing.

2023/5/30

Pascal Poupart
Pascal Poupart

H-Index: 32

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

2023/2/21

Robust One Round Federated Learning with Predictive Space Bayesian Inference

arXiv preprint arXiv:2206.09526

2022/6/20

Federated Bayesian neural regression: A scalable global federated gaussian process

arXiv preprint arXiv:2206.06357

2022/6/13

Learning soft constraints from constrained expert demonstrations

arXiv preprint arXiv:2206.01311

2022/6/2

Fedformer: Contextual federation with attention in reinforcement learning

arXiv preprint arXiv:2205.13697

2022/5/27

Pascal Poupart
Pascal Poupart

H-Index: 32

Robin Cohen
Robin Cohen

H-Index: 31

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

arXiv preprint arXiv:2205.12428

2022/5/25

WatClaimCheck: A new dataset for claim entailment and inference

2022/5

Ruizhe Wang
Ruizhe Wang

H-Index: 8

Pascal Poupart
Pascal Poupart

H-Index: 32

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