Guy Van den Broeck

Guy Van den Broeck

University of California, Los Angeles

H-index: 40

North America-United States

About Guy Van den Broeck

Guy Van den Broeck, With an exceptional h-index of 40 and a recent h-index of 32 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Artificial Intelligence, Probabilistic Programming, Probabilistic Circuits, Neurosymbolic AI.

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

A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

A Unified Approach to Count-Based Weakly Supervised Learning

Collapsed inference for bayesian deep learning

Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models

Scalable Analysis of Probabilistic Models and Programs (Dagstuhl Seminar 23241)

A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata

Polynomial Semantics of Tractable Probabilistic Circuits

Image Inpainting via Tractable Steering of Diffusion Models

Guy Van den Broeck Information

University

Position

Associate Professor and Samueli Fellow

Citations(all)

5288

Citations(since 2020)

3685

Cited By

2905

hIndex(all)

40

hIndex(since 2020)

32

i10Index(all)

99

i10Index(since 2020)

87

Email

University Profile Page

University of California, Los Angeles

Google Scholar

View Google Scholar Profile

Guy Van den Broeck Skills & Research Interests

Artificial Intelligence

Probabilistic Programming

Probabilistic Circuits

Neurosymbolic AI

Top articles of Guy Van den Broeck

Title

Journal

Author(s)

Publication Date

A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

Advances in Neural Information Processing Systems

Kareem Ahmed

Kai-Wei Chang

Guy Van den Broeck

2024/2/13

A Unified Approach to Count-Based Weakly Supervised Learning

Advances in Neural Information Processing Systems

Vinay Shukla

Zhe Zeng

Kareem Ahmed

Guy Van den Broeck

2024/2/13

Collapsed inference for bayesian deep learning

Advances in Neural Information Processing Systems

Zhe Zeng

Guy Van den Broeck

2024/2/13

Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models

arXiv preprint arXiv:2404.09529

Siyan Zhao

Daniel Israel

Guy Van den Broeck

Aditya Grover

2024/4/15

Scalable Analysis of Probabilistic Models and Programs (Dagstuhl Seminar 23241)

Sebastian Junges

Joost-Pieter Katoen

Scott Sanner

Guy Van den Broeck

Bahare Salmani

2024

A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata

arXiv preprint arXiv:2404.09674

Antoine Amarilli

Marcelo Arenas

YooJung Choi

Mikaël Monet

Guy Van den Broeck

...

2024/4/15

Polynomial Semantics of Tractable Probabilistic Circuits

arXiv preprint arXiv:2402.09085

Oliver Broadrick

Honghua Zhang

Guy Van den Broeck

2024/2/14

Image Inpainting via Tractable Steering of Diffusion Models

arXiv preprint arXiv:2401.03349

Anji Liu

Mathias Niepert

Guy Van den Broeck

2023/11/28

Tractable and expressive generative models of genetic variation data

bioRxiv

Meihua Dang

Anji Liu

Xinzhu Wei

Sriram Sankararaman

Guy Van den Broeck

2023/5/18

Probabilistic Task-Adaptive Graph Rewiring

Chendi Qian

Andrei Manolache

Kareem Ahmed

Zhe Zeng

Guy Van den Broeck

...

2023/9/17

Lossless Compression with Probabilistic Circuits

2023/11/2

Mixtures of all trees

Nikil Roashan Selvam

Honghua Zhang

Guy Van den Broeck

2023/4/11

Tractable control for autoregressive language generation

Honghua Zhang

Meihua Dang

Nanyun Peng

Guy Van den Broeck

2023/7/3

Gradient Estimation For Exactly- Constraints

Ruoyan Li

Dipti Ranjan Sahu

Guy Van den Broeck

Zhe Zeng

2023/10/28

Semantic strengthening of neuro-symbolic learning

Kareem Ahmed

Kai-Wei Chang

Guy Van den Broeck

2023/4/11

Understanding the distillation process from deep generative models to tractable probabilistic circuits

Xuejie Liu

Anji Liu

Guy Van den Broeck

Yitao Liang

2023/7/3

Expressive Modeling is Insufficient for Offline RL: A Tractable Inference Perspective

Xuejie Liu

Anji Liu

Guy Van den Broeck

Yitao Liang

2023/10/13

Semantic Loss Functions for Neuro-Symbolic Structured Prediction

Kareem Ahmed

Stefano Teso

Paolo Morettin

Luca Di Liello

Pierfrancesco Ardino

...

2023

High Dimensional Causal Inference with Variational Backdoor Adjustment

arXiv preprint arXiv:2310.06100

Daniel Israel

Aditya Grover

Guy Van den Broeck

2023/10/9

Scaling integer arithmetic in probabilistic programs

William X Cao

Poorva Garg

Ryan Tjoa

Steven Holtzen

Todd Millstein

...

2023/7/2

See List of Professors in Guy Van den Broeck University(University of California, Los Angeles)

Co-Authors

H-index: 91
Dan Suciu

Dan Suciu

University of Washington

H-index: 73
Luc De Raedt

Luc De Raedt

Katholieke Universiteit Leuven

H-index: 46
Todd Millstein

Todd Millstein

University of California, Los Angeles

H-index: 36
Jesse Davis

Jesse Davis

Katholieke Universiteit Leuven

H-index: 31
Wannes Meert

Wannes Meert

Katholieke Universiteit Leuven

H-index: 29
Arthur Choi

Arthur Choi

University of California, Los Angeles

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