Ruslan Salakhutdinov

Ruslan Salakhutdinov

Carnegie Mellon University

H-index: 115

North America-United States

About Ruslan Salakhutdinov

Ruslan Salakhutdinov, With an exceptional h-index of 115 and a recent h-index of 103 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Artificial Intelligence, Deep Learning.

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

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation

SPRING: Studying Papers and Reasoning to play Games

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

Factorized contrastive learning: Going beyond multi-view redundancy

Automatic question-answer generation for long-tail knowledge

Generating images with multimodal language models

OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web

Stylus: Automatic Adapter Selection for Diffusion Models

Ruslan Salakhutdinov Information

University

Carnegie Mellon University

Position

UPMC Professor Machine Learning Department

Citations(all)

191959

Citations(since 2020)

137051

Cited By

115559

hIndex(all)

115

hIndex(since 2020)

103

i10Index(all)

270

i10Index(since 2020)

264

Email

University Profile Page

Carnegie Mellon University

Ruslan Salakhutdinov Skills & Research Interests

Machine Learning

Artificial Intelligence

Deep Learning

Top articles of Ruslan Salakhutdinov

Title

Journal

Author(s)

Publication Date

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation

arXiv preprint arXiv:2403.19103

Yutong He

Alexander Robey

Naoki Murata

Yiding Jiang

Joshua Williams

...

2024/3/28

SPRING: Studying Papers and Reasoning to play Games

Yue Wu

So Yeon Min

Shrimai Prabhumoye

Yonatan Bisk

Ruslan Salakhutdinov

...

2023

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

arXiv preprint arXiv:2403.04082

Benjamin Eysenbach

Vivek Myers

Ruslan Salakhutdinov

Sergey Levine

2024/3/6

Factorized contrastive learning: Going beyond multi-view redundancy

Advances in Neural Information Processing Systems

Paul Pu Liang

Zihao Deng

Martin Q Ma

James Y Zou

Louis-Philippe Morency

...

2024/2/13

Automatic question-answer generation for long-tail knowledge

arXiv preprint arXiv:2403.01382

Rohan Kumar

Youngmin Kim

Sunitha Ravi

Haitian Sun

Christos Faloutsos

...

2024/3/3

Generating images with multimodal language models

Advances in Neural Information Processing Systems

Jing Yu Koh

Daniel Fried

Russ R Salakhutdinov

2024/2/13

OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web

arXiv preprint arXiv:2402.17553

Raghav Kapoor

Yash Parag Butala

Melisa Russak

Jing Yu Koh

Kiran Kamble

...

2024/2/27

Stylus: Automatic Adapter Selection for Diffusion Models

arXiv preprint arXiv:2404.18928

Michael Luo

Justin Wong

Brandon Trabucco

Yanping Huang

Joseph E Gonzalez

...

2024/4/29

Visualwebarena: Evaluating multimodal agents on realistic visual web tasks

arXiv preprint arXiv:2401.13649

Jing Yu Koh

Robert Lo

Lawrence Jang

Vikram Duvvur

Ming Chong Lim

...

2024/1/24

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Advances in Neural Information Processing Systems

Paul Pu Liang

Yun Cheng

Xiang Fan

Chun Kai Ling

Suzanne Nie

...

2024/2/13

AgentKit: Flow Engineering with Graphs, not Coding

arXiv preprint arXiv:2404.11483

Yue Wu

Yewen Fan

So Yeon Min

Shrimai Prabhumoye

Stephen McAleer

...

2024/4/17

Imitating task and motion planning with visuomotor transformers

arXiv preprint arXiv:2305.16309

Murtaza Dalal

Ajay Mandlekar

Caelan Garrett

Ankur Handa

Ruslan Salakhutdinov

...

2023/5/25

Effective data augmentation with diffusion models

arXiv preprint arXiv:2302.07944

Brandon Trabucco

Kyle Doherty

Max Gurinas

Ruslan Salakhutdinov

2023/2/7

Grounding language models to images for multimodal inputs and outputs

Jing Yu Koh

Ruslan Salakhutdinov

Daniel Fried

2023/7/3

Self-Supervised Object Goal Navigation with In-Situ Finetuning

So Yeon Min

Yao-Hung Hubert Tsai

Wei Ding

Ali Farhadi

Ruslan Salakhutdinov

...

2023/10/1

Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data

Chongyi Zheng

Benjamin Eysenbach

Homer Rich Walke

Patrick Yin

Kuan Fang

...

2023/10/13

Manifold preserving guided diffusion

arXiv preprint arXiv:2311.16424

Yutong He

Naoki Murata

Chieh-Hsin Lai

Yuhta Takida

Toshimitsu Uesaka

...

2023/11/28

Quantifying & modeling feature interactions: An information decomposition framework

arXiv e-prints

Paul Pu Liang

Yun Cheng

Xiang Fan

Chun Kai Ling

Suzanne Nie

...

2023/2

Spring: Gpt-4 out-performs rl algorithms by studying papers and reasoning

arXiv preprint arXiv:2305.15486

Yue Wu

So Yeon Min

Shrimai Prabhumoye

Yonatan Bisk

Ruslan Salakhutdinov

...

2023/5/24

Localized text-to-image generation for free via cross attention control

arXiv preprint arXiv:2306.14636

Yutong He

Ruslan Salakhutdinov

J Zico Kolter

2023/6/26

See List of Professors in Ruslan Salakhutdinov University(Carnegie Mellon University)

Ruslan Salakhutdinov FAQs

What is Ruslan Salakhutdinov's h-index at Carnegie Mellon University?

The h-index of Ruslan Salakhutdinov has been 103 since 2020 and 115 in total.

What are Ruslan Salakhutdinov's top articles?

The articles with the titles of

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation

SPRING: Studying Papers and Reasoning to play Games

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

Factorized contrastive learning: Going beyond multi-view redundancy

Automatic question-answer generation for long-tail knowledge

Generating images with multimodal language models

OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web

Stylus: Automatic Adapter Selection for Diffusion Models

...

are the top articles of Ruslan Salakhutdinov at Carnegie Mellon University.

What are Ruslan Salakhutdinov's research interests?

The research interests of Ruslan Salakhutdinov are: Machine Learning, Artificial Intelligence, Deep Learning

What is Ruslan Salakhutdinov's total number of citations?

Ruslan Salakhutdinov has 191,959 citations in total.

What are the co-authors of Ruslan Salakhutdinov?

The co-authors of Ruslan Salakhutdinov are Yoshua Bengio, Antonio Torralba, Joshua B. Tenenbaum, Eric Xing, Kyunghyun Cho, Aaron Courville.

Co-Authors

H-index: 227
Yoshua Bengio

Yoshua Bengio

Université de Montréal

H-index: 138
Antonio Torralba

Antonio Torralba

Massachusetts Institute of Technology

H-index: 137
Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 114
Eric Xing

Eric Xing

Carnegie Mellon University

H-index: 98
Kyunghyun Cho

Kyunghyun Cho

New York University

H-index: 98
Aaron Courville

Aaron Courville

Université de Montréal

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