Antonio Vergari

Antonio Vergari

University of California, Los Angeles

H-index: 21

North America-United States

About Antonio Vergari

Antonio Vergari, With an exceptional h-index of 21 and a recent h-index of 19 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Artificial Intelligence, Probabilistic Machine Learning, Probabilistic Circuits, Neuro-Symbolic AI.

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

Does heart rate variability change over acute episodes of bipolar disorder? A Bayesian analysis.

PIXAR: Auto-Regressive Language Modeling in Pixel Space

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

From mnist to imagenet and back: Benchmarking continual curriculum learning

Galerkin meets Laplace: Fast uncertainty estimation in neural PDEs

Probabilistic integral circuits

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

On the Independence Assumption in Neurosymbolic Learning

Antonio Vergari Information

University

Position

PostDoc

Citations(all)

1551

Citations(since 2020)

1450

Cited By

538

hIndex(all)

21

hIndex(since 2020)

19

i10Index(all)

28

i10Index(since 2020)

27

Email

University Profile Page

University of California, Los Angeles

Google Scholar

View Google Scholar Profile

Antonio Vergari Skills & Research Interests

Artificial Intelligence

Probabilistic Machine Learning

Probabilistic Circuits

Neuro-Symbolic AI

Top articles of Antonio Vergari

Title

Journal

Author(s)

Publication Date

Does heart rate variability change over acute episodes of bipolar disorder? A Bayesian analysis.

Filippo Corponi

Bryan M Li

Gerard Anmella

Clàudia Valenzuela-Pascual

Isabella Pacchiarotti

...

2024/3/25

PIXAR: Auto-Regressive Language Modeling in Pixel Space

arXiv preprint arXiv:2401.03321

Yintao Tai

Xiyang Liao

Alessandro Suglia

Antonio Vergari

2024/1/6

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Proceedings of the AAAI Conference on Artificial Intelligence

Andreas Grivas

Antonio Vergari

Adam Lopez

2024/3/24

From mnist to imagenet and back: Benchmarking continual curriculum learning

Machine Learning

Kamil Faber

Dominik Zurek

Marcin Pietron

Nathalie Japkowicz

Antonio Vergari

...

2024/4/22

Galerkin meets Laplace: Fast uncertainty estimation in neural PDEs

Christian Jimenez Beltran

Antonio Vergari

Aretha L Teckentrup

Konstantinos C Zygalakis

2024/3/3

Probabilistic integral circuits

Gennaro Gala

Cassio de Campos

Robert Peharz

Antonio Vergari

Erik Quaeghebeur

2024/4/18

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

arXiv preprint arXiv:2402.12240

Emanuele Marconato

Samuele Bortolotti

Emile van Krieken

Antonio Vergari

Andrea Passerini

...

2024/2/19

On the Independence Assumption in Neurosymbolic Learning

ICML 2024

Emile van Krieken

Pasquale Minervini

Edoardo M Ponti

Antonio Vergari

2024/4/12

How to Turn Your Knowledge Graph Embeddings into Generative Models

Advances in Neural Information Processing Systems

Lorenzo Loconte

Nicola Di Mauro

Robert Peharz

Antonio Vergari

2024/2/13

Automated mood disorder symptoms monitoring from multivariate time-series sensory data: getting the full picture beyond a single number

Translational Psychiatry

Filippo Corponi

Bryan M Li

Gerard Anmella

Ariadna Mas

Isabella Pacchiarotti

...

2024/3/26

Not all neuro-symbolic concepts are created equal: Analysis and mitigation of reasoning shortcuts

Advances in Neural Information Processing Systems

Emanuele Marconato

Stefano Teso

Antonio Vergari

Andrea Passerini

2024/2/13

Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study

JMIR mHealth and uHealth

Gerard Anmella

Filippo Corponi

Bryan M Li

Ariadna Mas

Miriam Sanabra

...

2023/5/4

Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

arXiv preprint arXiv:2305.19979

Aryo Pradipta Gema

Dominik Grabarczyk

Wolf De Wulf

Piyush Borole

Javier Antonio Alfaro

...

2023/5/31

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning

arXiv preprint arXiv:2311.04215

Filippo Corponi

Bryan M Li

Gerard Anmella

Clàudia Valenzuela-Pascual

Ariadna Mas

...

2023/11/7

Subtractive Mixture Models via Squaring: Representation and Learning

arXiv preprint arXiv:2310.00724

Lorenzo Loconte

Aleksanteri M Sladek

Stefan Mengel

Martin Trapp

Arno Solin

...

2023/10/1

Negative Mixture Models via Squaring: Representation and Learning

Lorenzo Loconte

Stefan Mengel

Nicolas Gillis

Antonio Vergari

2023/7/13

Unifying and Understanding Overparameterized Circuit Representations via Low-Rank Tensor Decompositions

Antonio Mari

Gennaro Vessio

Antonio Vergari

2023/7/13

Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits

International Journal of Approximate Reasoning

Meihua Dang

Antonio Vergari

Guy Van den Broeck

2022/1/1

Recent Advancements in Tractable Probabilistic Inference (Dagstuhl Seminar 22161)

Priyank Jaini

Kristian Kersting

Antonio Vergari

Max Welling

2022

Your Knowledge Graph Embeddings are Secretly Circuits and You Should Treat Them as Such

Lorenzo Loconte

Nicola Di Mauro

Robert Peharz

Antonio Vergari

2022

See List of Professors in Antonio Vergari University(University of California, Los Angeles)

Co-Authors

H-index: 124
Zoubin Ghahramani

Zoubin Ghahramani

University of Cambridge

H-index: 64
Kristian Kersting

Kristian Kersting

Technische Universität Darmstadt

H-index: 40
Guy Van den Broeck

Guy Van den Broeck

University of California, Los Angeles

H-index: 25
Robert Peharz

Robert Peharz

Technische Universiteit Eindhoven

H-index: 19
Stefano Teso

Stefano Teso

Università degli Studi di Trento

H-index: 17
Alejandro Molina

Alejandro Molina

Technische Universität Darmstadt

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