Anirudh Goyal

Anirudh Goyal

Université de Montréal

H-index: 31

North America-Canada

About Anirudh Goyal

Anirudh Goyal, With an exceptional h-index of 31 and a recent h-index of 31 (since 2020), a distinguished researcher at Université de Montréal, specializes in the field of Machine Learning, Deep Learning, Deep Reinforcement Learning.

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

Accelerating Greedy Coordinate Gradient via Probe Sampling

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates

Can AI Be as Creative as Humans?

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Physical reasoning and object planning for household embodied agents

Discrete key-value bottleneck

Skill-Mix: A flexible and expandable family of evaluations for AI models

Cycle consistency driven object discovery

Anirudh Goyal Information

University

Position

Mila

Citations(all)

5758

Citations(since 2020)

5254

Cited By

1793

hIndex(all)

31

hIndex(since 2020)

31

i10Index(all)

48

i10Index(since 2020)

48

Email

University Profile Page

Université de Montréal

Google Scholar

View Google Scholar Profile

Anirudh Goyal Skills & Research Interests

Machine Learning

Deep Learning

Deep Reinforcement Learning

Top articles of Anirudh Goyal

Title

Journal

Author(s)

Publication Date

Accelerating Greedy Coordinate Gradient via Probe Sampling

arXiv preprint arXiv:2403.01251

Yiran Zhao

Wenyue Zheng

Tianle Cai

Xuan Long Do

Kenji Kawaguchi

...

2024/3/2

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates

arXiv preprint arXiv:2402.18540

Kaifeng Lyu

Haoyu Zhao

Xinran Gu

Dingli Yu

Anirudh Goyal

...

2024/2/28

Can AI Be as Creative as Humans?

arXiv preprint arXiv:2401.01623

Haonan Wang

James Zou

Michael Mozer

Linjun Zhang

Anirudh Goyal

...

2024/1/3

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

arXiv preprint arXiv:2405.00451

Yuxi Xie

Anirudh Goyal

Wenyue Zheng

Min-Yen Kan

Timothy P Lillicrap

...

2024/5/1

Physical reasoning and object planning for household embodied agents

arXiv preprint arXiv:2311.13577

Ayush Agrawal

Raghav Prabhakar

Anirudh Goyal

Dianbo Liu

2023/11/22

Discrete key-value bottleneck

Frederik Träuble

Anirudh Goyal

Nasim Rahaman

Michael Curtis Mozer

Kenji Kawaguchi

...

2023/7/3

Skill-Mix: A flexible and expandable family of evaluations for AI models

arXiv preprint arXiv:2310.17567

Dingli Yu

Simran Kaur

Arushi Gupta

Jonah Brown-Cohen

Anirudh Goyal

...

2023/10/26

Cycle consistency driven object discovery

arXiv preprint arXiv:2306.02204

Aniket Didolkar

Anirudh Goyal

Yoshua Bengio

2023/6/3

TC-VAE: On the relationship between Disentanglement and Diversity

Cristian Meo

Louis Mahon

Anirudh Goyal

Justin Dauwels

2023/10/13

Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior

arXiv preprint arXiv:2305.19550

Ayush Chakravarthy

Trang Nguyen

Anirudh Goyal

Yoshua Bengio

Michael C Mozer

2023/5/31

A theory for emergence of complex skills in language models

arXiv preprint arXiv:2307.15936

Sanjeev Arora

Anirudh Goyal

2023/7/29

Gemini: a family of highly capable multimodal models

arXiv preprint arXiv:2312.11805

Gemini Team

Rohan Anil

Sebastian Borgeaud

Yonghui Wu

Jean-Baptiste Alayrac

...

2023/12/19

Discogen: Learning to discover gene regulatory networks

arXiv preprint arXiv:2304.05823

Nan Rosemary Ke

Sara-Jane Dunn

Jorg Bornschein

Silvia Chiappa

Melanie Rey

...

2023/4/12

Gflowout: Dropout with generative flow networks

Dianbo Liu

Moksh Jain

Bonaventure FP Dossou

Qianli Shen

Salem Lahlou

...

2023/7/3

Unlearning via Sparse Representations

arXiv preprint arXiv:2311.15268

Vedant Shah

Frederik Träuble

Ashish Malik

Hugo Larochelle

Michael Mozer

...

2023/11/26

Leveraging the Third Dimension in Contrastive Learning

arXiv preprint arXiv:2301.11790

Sumukh Aithal

Anirudh Goyal

Alex Lamb

Yoshua Bengio

Michael Mozer

2023/1/27

Test-time adaptation with slot-centric models

Mihir Prabhudesai

Sujoy Paul

Sjoerd van Steenkiste

Mehdi SM Sajjadi

Anirudh Goyal

...

2023

Representation learning in deep rl via discrete information bottleneck

The 25th International Conference on Artificial Intelligence and Statistics (AISTATS)

Riashat Islam

Hongyu Zang

Manan Tomar

Aniket Didolkar

Md Mofijul Islam

...

2023

Retrieval-augmented reinforcement learning

Anirudh Goyal

Abram Friesen

Andrea Banino

Theophane Weber

Nan Rosemary Ke

...

2022/6/28

Temporal latent bottleneck: Synthesis of fast and slow processing mechanisms in sequence learning

arXiv preprint arXiv:2205.14794

Aniket Didolkar

Kshitij Gupta

Anirudh Goyal

Nitesh B. Gundavarapu

Alex Lamb

...

2022/5/30

See List of Professors in Anirudh Goyal University(Université de Montréal)

Co-Authors

H-index: 227
Yoshua Bengio

Yoshua Bengio

Université de Montréal

H-index: 156
Sergey Levine

Sergey Levine

University of California, Berkeley

H-index: 75
Sanjeev Arora

Sanjeev Arora

Princeton University

H-index: 70
Michael Mozer

Michael Mozer

University of Colorado Boulder

H-index: 62
Surya Ganguli

Surya Ganguli

Stanford University

H-index: 25
Nan Rosemary Ke

Nan Rosemary Ke

École Polytechnique de Montréal

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