Rob Fergus

Rob Fergus

New York University

H-index: 83

North America-United States

About Rob Fergus

Rob Fergus, With an exceptional h-index of 83 and a recent h-index of 66 (since 2020), a distinguished researcher at New York University, specializes in the field of Machine Learning, Computer Vision.

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

Nethack is hard to hack

Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc

Accelerating exploration and representation learning with offline pre-training

Collaborating with language models for embodied reasoning

diff History for Long-Context Language Agents

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders

Distilling internet-scale vision-language models into embodied agents

Hierarchical reinforcement learning with natural language subgoals

Rob Fergus Information

University

Position

Research Scientist DeepMind. Professor of Computer Science

Citations(all)

127839

Citations(since 2020)

78427

Cited By

80657

hIndex(all)

83

hIndex(since 2020)

66

i10Index(all)

133

i10Index(since 2020)

115

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Rob Fergus Skills & Research Interests

Machine Learning

Computer Vision

Top articles of Rob Fergus

Title

Journal

Author(s)

Publication Date

Nethack is hard to hack

Advances in Neural Information Processing Systems

Ulyana Piterbarg

Lerrel Pinto

Rob Fergus

2024/2/13

Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc

Yilun Du

Conor Durkan

Robin Strudel

Joshua B Tenenbaum

Sander Dieleman

...

2023/7/3

Accelerating exploration and representation learning with offline pre-training

arXiv preprint arXiv:2304.00046

Bogdan Mazoure

Jake Bruce

Doina Precup

Rob Fergus

Ankit Anand

2023/3/31

Collaborating with language models for embodied reasoning

arXiv preprint arXiv:2302.00763

Ishita Dasgupta

Christine Kaeser-Chen

Kenneth Marino

Arun Ahuja

Sheila Babayan

...

2023/2/1

diff History for Long-Context Language Agents

arXiv preprint arXiv:2312.07540

Ulyana Piterbarg

Lerrel Pinto

Rob Fergus

2023/12/12

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders

Nishant Yadav

Nicholas Monath

Manzil Zaheer

Rob Fergus

Andrew McCallum

2023/10/13

Distilling internet-scale vision-language models into embodied agents

International Conference on Machine Learning

Theodore Sumers

Kenneth Marino

Arun Ahuja

Rob Fergus

Ishita Dasgupta

2023

Hierarchical reinforcement learning with natural language subgoals

arXiv preprint arXiv:2309.11564

Arun Ahuja

Kavya Kopparapu

Rob Fergus

Ishita Dasgupta

2023/9/20

Embeddistill: A geometric knowledge distillation for information retrieval

arXiv preprint arXiv:2301.12005

Seungyeon Kim

Ankit Singh Rawat

Manzil Zaheer

Sadeep Jayasumana

Veeranjaneyulu Sadhanala

...

2023/1/27

Learning to navigate wikipedia by taking random walks

Advances in Neural Information Processing Systems

Manzil Zaheer

Kenneth Marino

Will Grathwohl

John Schultz

Wendy Shang

...

2022/12/6

Learning about progress from experts

Jake Bruce

Ankit Anand

Bogdan Mazoure

Rob Fergus

2023

Teacher guided training: An efficient framework for knowledge transfer

arXiv preprint arXiv:2208.06825

Manzil Zaheer

Ankit Singh Rawat

Seungyeon Kim

Chong You

Himanshu Jain

...

2022/8/14

Reinforcement learning with prototypical representations

ICML 2021

Denis Yarats

Rob Fergus

Alessandro Lazaric

Lerrel Pinto

2021/2/22

Systems and methods for utilizing compressed convolutional neural networks to perform media content processing

2021/9/9

Improving sample efficiency in model-free reinforcement learning from images

AAAI 2021

Denis Yarats

Amy Zhang

Ilya Kostrikov

Brandon Amos

Joelle Pineau

...

2019/10/2

Mastering visual continuous control: Improved data-augmented reinforcement learning

ICLR 2022

Denis Yarats

Rob Fergus

Alessandro Lazaric

Lerrel Pinto

2021/7/20

Systems and methods for online clustering of content items

2021/5/11

Imitation by predicting observations

Andrew Jaegle

Yury Sulsky

Arun Ahuja

Jake Bruce

Rob Fergus

...

2021/7/1

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Proceedings of the National Academy of Sciences

Alexander Rives

Joshua Meier

Tom Sercu

Siddharth Goyal

Zeming Lin

...

2021/4/13

Offline reinforcement learning with fisher divergence critic regularization

Ilya Kostrikov

Jonathan Tompson

Rob Fergus

Ofir Nachum

2021/3

See List of Professors in Rob Fergus University(New York University)