Peter J. Ramadge

Peter J. Ramadge

Princeton University

H-index: 46

North America-United States

About Peter J. Ramadge

Peter J. Ramadge, With an exceptional h-index of 46 and a recent h-index of 26 (since 2020), a distinguished researcher at Princeton University, specializes in the field of machine learning, signal processing, image processing.

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

Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming

Latent positional information is in the self-attention variance of transformer language models without positional embeddings

Aligning Brains into a Shared Space Improves Their Alignment to Large Language Model

Transformer working memory enables regular language reasoning and natural language length extrapolation

Generative Marginalization Models

Kerple: Kernelized relative positional embedding for length extrapolation

Training discrete deep generative models via gapped straight-through estimator

Safety Control for Prime Focus Spectrograph

Peter J. Ramadge Information

University

Position

___

Citations(all)

19788

Citations(since 2020)

3885

Cited By

17343

hIndex(all)

46

hIndex(since 2020)

26

i10Index(all)

93

i10Index(since 2020)

50

Email

University Profile Page

Princeton University

Google Scholar

View Google Scholar Profile

Peter J. Ramadge Skills & Research Interests

machine learning

signal processing

image processing

Top articles of Peter J. Ramadge

Title

Journal

Author(s)

Publication Date

Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming

IEEE Control Systems Letters

Athindran Ramesh Kumar

Kai-Chieh Hsu

Peter J Ramadge

Jaime F Fisac

2023/7/4

Latent positional information is in the self-attention variance of transformer language models without positional embeddings

arXiv preprint arXiv:2305.13571

Ta-Chung Chi

Ting-Han Fan

Li-Wei Chen

Alexander I Rudnicky

Peter J Ramadge

2023/5/23

Aligning Brains into a Shared Space Improves Their Alignment to Large Language Model

ARNAB BHATTACHARJEE

Zaid Zada

Haocheng Wang

Bobbi Aubrey

Samuel Nastase

...

2023/10/13

Transformer working memory enables regular language reasoning and natural language length extrapolation

arXiv preprint arXiv:2305.03796

Ta-Chung Chi

Ting-Han Fan

Alexander I Rudnicky

Peter J Ramadge

2023/5/5

Generative Marginalization Models

arXiv preprint arXiv:2310.12920

Sulin Liu

Peter J Ramadge

Ryan P Adams

2023/10/19

Kerple: Kernelized relative positional embedding for length extrapolation

Advances in Neural Information Processing Systems

Ta-Chung Chi

Ting-Han Fan

Peter J Ramadge

Alexander Rudnicky

2022/12/6

Training discrete deep generative models via gapped straight-through estimator

Ting-Han Fan

Ta-Chung Chi

Alexander I Rudnicky

Peter J Ramadge

2022/6/28

Safety Control for Prime Focus Spectrograph

Ting-Han Fan

Athindran Ramesh Kumar

Peter J Ramadge

2022/3/9

Expert intervention learning: An online framework for robot learning from explicit and implicit human feedback

Autonomous Robots

Jonathan Spencer

Sanjiban Choudhury

Matthew Barnes

Matthew Schmittle

Mung Chiang

...

2022/1/1

Dissecting transformer length extrapolation via the lens of receptive field analysis

arXiv preprint arXiv:2212.10356

Ta-Chung Chi

Ting-Han Fan

Alexander I Rudnicky

Peter J Ramadge

2022/12/20

Learning physics constrained dynamics using autoencoders

Advances in Neural Information Processing Systems

Tsung-Yen Yang

Justinian Rosca

Karthik Narasimhan

Peter J Ramadge

2022/12/6

A Contraction Approach to Model-based Reinforcement Learning

Ting-Han Fan

Peter Ramadge

2021/3/18

BrainIAK: the brain imaging analysis kit

Aperture neuro

Manoj Kumar

Michael J Anderson

James W Antony

Christopher Baldassano

Paula P Brooks

...

2021

Accelerating safe reinforcement learning with constraint-mismatched baseline policies

Tsung-Yen Yang

Justinian Rosca

Karthik Narasimhan

Peter J Ramadge

2021/7/1

Learning to control using a convex combination of controllers

Athindran Ramesh Kumar

Peter J Ramadge

2021/5/25

DiffLoop: Tuning PID controllers by differentiating through the feedback loop

Athindran Ramesh Kumar

Peter J Ramadge

2021/3/24

Safe reinforcement learning with natural language constraints

Tsung-Yen Yang

Michael Hu

Yinlam Chow

Peter J Ramadge

Karthik Narasimhan

2021/10/26

An Experimental Study of Balance in Matrix Factorization

Jennifer Hsia

Peter J Ramadge

2021/3/24

Explaining off-policy actor-critic from a bias-variance perspective

arXiv preprint arXiv:2110.02421

Ting-Han Fan

Peter J Ramadge

2021/10/6

Learning from interventions: Human-robot interaction as both explicit and implicit feedback

Jonathan Spencer

Sanjiban Choudhury

Matthew Barnes

Matthew Schmittle

Mung Chiang

...

2020

See List of Professors in Peter J. Ramadge University(Princeton University)

Co-Authors

H-index: 117
James Haxby

James Haxby

Dartmouth College

H-index: 68
Kenneth A. Norman

Kenneth A. Norman

Princeton University

H-index: 62
Mert R. Sabuncu

Mert R. Sabuncu

Cornell University

H-index: 55
Nicholas Turk-Browne

Nicholas Turk-Browne

Yale University

H-index: 53
Yap-Peng TAN

Yap-Peng TAN

Nanyang Technological University

H-index: 52
Edwin K. P. Chong

Edwin K. P. Chong

Colorado State University

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