Patrick Forré

Patrick Forré

Universiteit van Amsterdam

H-index: 16

Europe-Netherlands

About Patrick Forré

Patrick Forré, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of Causality, Statistics, Machine Learning, Math4AI, AI4Science.

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

Clifford-Steerable Convolutional Neural Networks

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck

Anytime-Valid Confidence Sequences for Consistent Uncertainty Estimation in Early-Exit Neural Networks

Deep anytime-valid hypothesis testing

Designing Long-term Group Fair Policies in Dynamical Systems

E-Valuating Classifier Two-Sample Tests

Clifford Group Equivariant Simplicial Message Passing Networks

Lightweight super-resolution multimode fiber imaging with regularized linear regression

Patrick Forré Information

University

Position

Assistant Professor Machine Learning AI4Science Lab Manager

Citations(all)

1392

Citations(since 2020)

1353

Cited By

245

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

20

i10Index(since 2020)

19

Email

University Profile Page

Universiteit van Amsterdam

Google Scholar

View Google Scholar Profile

Patrick Forré Skills & Research Interests

Causality

Statistics

Machine Learning

Math4AI

AI4Science

Top articles of Patrick Forré

Title

Journal

Author(s)

Publication Date

Clifford-Steerable Convolutional Neural Networks

arXiv preprint arXiv:2402.14730

Maksim Zhdanov

David Ruhe

Maurice Weiler

Ana Lucic

Johannes Brandstetter

...

2024/2/22

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck

arXiv preprint arXiv:2309.07200

Marco Federici

Patrick Forré

Ryota Tomioka

Bastiaan S Veeling

2023/9/13

Anytime-Valid Confidence Sequences for Consistent Uncertainty Estimation in Early-Exit Neural Networks

arXiv preprint arXiv:2311.05931

Metod Jazbec

Patrick Forré

Stephan Mandt

Dan Zhang

Eric Nalisnick

2023/11/10

Deep anytime-valid hypothesis testing

Teodora Pandeva

Patrick Forré

Aaditya Ramdas

Shubhanshu Shekhar

2024/4/18

Designing Long-term Group Fair Policies in Dynamical Systems

Miriam Rateike

Isabel Valera

Patrick Forré

2024/6/4

E-Valuating Classifier Two-Sample Tests

arXiv preprint arXiv:2210.13027

Teodora Pandeva

Tim Bakker

Christian A Naesseth

Patrick Forré

2022/10/24

Clifford Group Equivariant Simplicial Message Passing Networks

Cong Liu

David Ruhe

Floor Eijkelboom

Patrick Forré

2024/5/9

Lightweight super-resolution multimode fiber imaging with regularized linear regression

Optics Express

Maximilian Lipp

Wei Li

Ksenia Abrashitova

Patrick Forré

Lyuba V. Amitonova

2024/4/10

Lie Group Decompositions for Equivariant Neural Networks

Mircea Mironenco

Patrick Forré

2024/5/9

Enhancing LC×LC separations through Multi-Task Bayesian Optimization

accepted for Journal of Chromatography A

Jim Boelrijk

Stef RA Molenaar

Tijmen S Bos

Tina A Dahlseid

Bernd Ensing

...

2024/2/19

Clifford Group Equivariant Neural Networks

David Ruhe

Johannes Brandstetter

Patrick Forré

2023/12/14

Predicting RP-LC retention indices of structurally unknown chemicals from mass spectrometry data

Journal of Cheminformatics

Jim Boelrijk

Denice van Herwerden

Bernd Ensing

Patrick Forré

Saer Samanipour

2023/2/24

A Mathematical Introduction to Causality

Patrick Forré

Joris M Mooij

2023/6/25

Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems

Advances in Neural Information Processing Systems

Fiona Lippert

Bart Kranstauber

Emiel van Loon

Patrick Forré

2024/2/13

Closed-loop automatic gradient design for liquid chromatography using Bayesian optimization

Analytica Chimica Acta

Jim Boelrijk

Bernd Ensing

Patrick Forré

Bob WJ Pirok

2023/2/15

On the Effectiveness of Hybrid Mutual Information Estimation

arXiv preprint arXiv:2306.00608

Marco Federici

David Ruhe

Patrick Forré

2023/6/1

Equivariant and Coordinate Independent Convolutional Networks - A Gauge Field Theory of Neural Networks

Maurice Weiler

Patrick  Forré

Erik Verlinde

Max Welling

2023/10/18

Multi-View Independent Component Analysis for Omics Data Integration

Teodora Pandeva

Patrick Forré

2023/5/5

Multi-View Independent Component Analysis with Shared and Individual Sources

Teodora Pandeva

Patrick Forré

2023/8/2

Equivariance-aware Architectural Optimization of Neural Networks

Kaitlin Maile

Dennis G. Wilson

Patrick Forré

2023/5/3

See List of Professors in Patrick Forré University(Universiteit van Amsterdam)

Co-Authors

H-index: 102
Max Welling

Max Welling

Universiteit van Amsterdam

H-index: 97
Ralph Wijers

Ralph Wijers

Universiteit van Amsterdam

H-index: 44
Antonia Rowlinson

Antonia Rowlinson

Universiteit van Amsterdam

H-index: 42
Zeynep Akata

Zeynep Akata

Eberhard Karls Universität Tübingen

H-index: 36
Jonas Peters

Jonas Peters

Københavns Universitet

H-index: 35
Joris M. Mooij

Joris M. Mooij

Universiteit van Amsterdam

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