Roger Grosse

Roger Grosse

University of Toronto

H-index: 44

North America-Canada

About Roger Grosse

Roger Grosse, With an exceptional h-index of 44 and a recent h-index of 41 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Machine learning.

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

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

REFACTOR: Learning to Extract Theorems from Proofs

Similarity-based cooperative equilibrium

Sleeper agents: Training deceptive llms that persist through safety training

Studying large language model generalization with influence functions

Statistics estimation in neural network training: a recursive identification approach

Efficient parametric approximations of neural network function space distance

Calibrating language models via augmented prompt ensembles

Roger Grosse Information

University

Position

Assistant Professor

Citations(all)

15857

Citations(since 2020)

11256

Cited By

8822

hIndex(all)

44

hIndex(since 2020)

41

i10Index(all)

68

i10Index(since 2020)

67

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Roger Grosse Skills & Research Interests

Machine learning

Top articles of Roger Grosse

Title

Journal

Author(s)

Publication Date

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

arXiv preprint arXiv:2404.17546

Stephen Zhao

Rob Brekelmans

Alireza Makhzani

Roger Grosse

2024/4/26

REFACTOR: Learning to Extract Theorems from Proofs

arXiv preprint arXiv:2402.17032

Jin Peng Zhou

Yuhuai Wu

Qiyang Li

Roger Grosse

2024/2/26

Similarity-based cooperative equilibrium

Advances in Neural Information Processing Systems

Caspar Oesterheld

Johannes Treutlein

Roger B Grosse

Vincent Conitzer

Jakob Foerster

2024/2/13

Sleeper agents: Training deceptive llms that persist through safety training

arXiv preprint arXiv:2401.05566

Evan Hubinger

Carson Denison

Jesse Mu

Mike Lambert

Meg Tong

...

2024/1/10

Studying large language model generalization with influence functions

arXiv preprint arXiv:2308.03296

Roger Grosse

Juhan Bae

Cem Anil

Nelson Elhage

Alex Tamkin

...

2023/8/7

Statistics estimation in neural network training: a recursive identification approach

Ruth Crasto

Xuchan Bao

Roger Baker Grosse

2023/7/9

Efficient parametric approximations of neural network function space distance

Nikita Dhawan

Sicong Huang

Juhan Bae

Roger Baker Grosse

2023/7/3

Calibrating language models via augmented prompt ensembles

Mingjian Jiang

Yangjun Ruan

Sicong Huang

Saifei Liao

Silviu Pitis

...

2023/6/23

Improving mutual information estimation with annealed and energy-based bounds

Rob Brekelmans

Sicong Huang

Marzyeh Ghassemi

Greg Ver Steeg

Roger Baker Grosse

...

2022

Discovering language model behaviors with model-written evaluations

arXiv preprint arXiv:2212.09251

Ethan Perez

Sam Ringer

Kamilė Lukošiūtė

Karina Nguyen

Edwin Chen

...

2022/12/19

Amortized proximal optimization

Advances in Neural Information Processing Systems

Juhan Bae

Paul Vicol

Jeff Z HaoChen

Roger B Grosse

2022/12/6

On implicit bias in overparameterized bilevel optimization

Paul Vicol

Jonathan Lorraine

Fabian Pedregosa

David Duvenaud

Roger B Grosse

2022/6/28

Multi-rate vae: Train once, get the full rate-distortion curve

Juhan Bae

Michael R Zhang

Michael Ruan

Eric Wang

So Hasegawa

...

2022/12/7

Similarity-based cooperation

arXiv preprint arXiv:2211.14468

Caspar Oesterheld

Johannes Treutlein

Roger Grosse

Vincent Conitzer

Jakob Foerster

2022/11

Near-optimal local convergence of alternating gradient descent-ascent for minimax optimization

Guodong Zhang

Yuanhao Wang

Laurent Lessard

Roger Grosse

2022

Path independent equilibrium models can better exploit test-time computation

Advances in Neural Information Processing Systems

Cem Anil

Ashwini Pokle

Kaiqu Liang

Johannes Treutlein

Yuhuai Wu

...

2022/12/6

Efficient parametric approximations of neural net function space distance

Nikita Dhawan

Sicong Huang

Juhan Bae

Roger Baker Grosse

2022/9/29

Proximal learning with opponent-learning awareness

Advances in Neural Information Processing Systems

Stephen Zhao

Chris Lu

Roger B Grosse

Jakob Foerster

2022/12/6

Toy models of superposition

arXiv preprint arXiv:2209.10652

Nelson Elhage

Tristan Hume

Catherine Olsson

Nicholas Schiefer

Tom Henighan

...

2022/9/21

If influence functions are the answer, then what is the question?

Advances in Neural Information Processing Systems

Juhan Bae

Nathan Ng

Alston Lo

Marzyeh Ghassemi

Roger B Grosse

2022/12/6

See List of Professors in Roger Grosse University(University of Toronto)

Co-Authors

H-index: 141
William T. Freeman

William T. Freeman

Massachusetts Institute of Technology

H-index: 137
Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 124
Zoubin Ghahramani

Zoubin Ghahramani

University of Cambridge

H-index: 117
Raquel Urtasun

Raquel Urtasun

University of Toronto

H-index: 115
Ruslan Salakhutdinov

Ruslan Salakhutdinov

Carnegie Mellon University

H-index: 94
Edward H Adelson

Edward H Adelson

Massachusetts Institute of Technology

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