World's Best Scientists 2026 revealed!
Wojciech Zaremba

Wojciech Zaremba

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
32
Citations
50233
World Ranking
960
National Ranking
155

Computer Science

D-Index
32
Citations
47467
World Ranking
12827
National Ranking
5165

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Wojciech Zaremba is affiliated with OpenAI in the United States and specializes primarily in the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Ophthalmology, Control and Systems Engineering, Computer Vision and Pattern Recognition, and Statistical and Nonlinear Physics.

Their work covers a diverse range of main topics such as Machine Learning and Data Classification, Reinforcement Learning in Robotics, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Neural Networks and Applications, Model Reduction and Neural Networks, as well as Glaucoma and retinal disorders.

Zaremba's frequent coauthors include Matthias Plappert, Ilya Sutskever, Mark Chen, Qiming Yuan, and Henrique Pondé de Oliveira Pinto, reflecting collaborations across multiple research efforts.

They have published extensively in venues including arXiv (Cornell University), Leibniz-Zentrum für Informatik (Schloss Dagstuhl), and the Journal of Clinical Medicine.

Notable recent papers authored or coauthored by Zaremba include:

  • Evaluating Large Language Models Trained on Code (2021), published in arXiv (Cornell University)
  • Can We Trust AI-Powered Real-Time Embedded Systems? (Invited Paper) (2022), published in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Asymmetric self-play for automatic goal discovery in robotic manipulation (2021), published in arXiv (Cornell University)
  • Endothelin-1 Serum Concentration is Lower in Children and Adolescents with High Myopia, a Preliminary Study (2020), published in Journal of Clinical Medicine
  • A Generalizable Approach to Learning Optimizers (2021), published in arXiv (Cornell University)

Best Publications

  • Intriguing properties of neural networks

    Christian Szegedy;Wojciech Zaremba;Ilya Sutskever;Joan Bruna

  • Improved techniques for training GANs

    Tim Salimans;Ian Goodfellow;Wojciech Zaremba;Vicki Cheung

  • Spectral Networks and Locally Connected Networks on Graphs

    Joan Bruna;Wojciech Zaremba;Arthur Szlam;Yann LeCun

  • Recurrent Neural Network Regularization

    Wojciech Zaremba;Ilya Sutskever;Oriol Vinyals

  • Domain randomization for transferring deep neural networks from simulation to the real world

    Josh Tobin;Rachel Fong;Alex Ray;Jonas Schneider

  • An Empirical Exploration of Recurrent Network Architectures

    Rafal Jozefowicz;Wojciech Zaremba;Wojciech Zaremba;Ilya Sutskever

  • Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation

    Emily L Denton;Wojciech Zaremba;Joan Bruna;Yann LeCun

  • Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

    Xue Bin Peng;Marcin Andrychowicz;Wojciech Zaremba;Pieter Abbeel

  • Learning dexterous in-hand manipulation:

    OpenAI: Marcin Andrychowicz;Bowen Baker;Maciek Chociej;Rafal Józefowicz

  • Evaluating Large Language Models Trained on Code

    Mark Chen;Jerry Tworek;Heewoo Jun;Qiming Yuan

  • Sequence Level Training with Recurrent Neural Networks

    Marc'Aurelio Ranzato;Sumit Chopra;Michael Auli;Wojciech Zaremba

  • Hindsight Experience Replay

    Marcin Andrychowicz;Filip Wolski;Alex Ray;Jonas Schneider

  • OpenAI Gym

    Greg Brockman;Vicki Cheung;Ludwig Pettersson;Jonas Schneider

  • Addressing the Rare Word Problem in Neural Machine Translation

    Thang Luong;Ilya Sutskever;Quoc Le;Oriol Vinyals

  • Overcoming Exploration in Reinforcement Learning with Demonstrations

    Ashvin Nair;Bob McGrew;Marcin Andrychowicz;Wojciech Zaremba

  • Solving Rubik's Cube with a Robot Hand.

    OpenAI;Ilge Akkaya;Marcin Andrychowicz;Maciek Chociej

  • Hindsight Experience Replay

    Marcin Andrychowicz;Filip Wolski;Alex Ray;Jonas Schneider

  • Learning to Execute

    Wojciech Zaremba;Ilya Sutskever

  • One-Shot Imitation Learning

    Yan Duan;Marcin Andrychowicz;Bradly Stadie;OpenAI Jonathan Ho

  • Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

    Matthias Plappert;Marcin Andrychowicz;Alex Ray;Bob McGrew

  • Addressing the Rare Word Problem in Neural Machine Translation

    Minh-Thang Luong;Ilya Sutskever;Quoc V. Le;Oriol Vinyals

  • One-Shot Imitation Learning

    Yan Duan;Marcin Andrychowicz;Bradly C. Stadie;Jonathan Ho

Frequent Co-Authors

Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Rob Fergus
Rob Fergus New York University
Joan Bruna
Joan Bruna New York University
Marc'Aurelio Ranzato
Marc'Aurelio Ranzato DeepMind (United Kingdom)
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Yann LeCun
Yann LeCun Facebook (United States)
Ian Goodfellow
Ian Goodfellow Google (United States)
Sumit Chopra
Sumit Chopra New York University
Vikash Kumar
Vikash Kumar University of Washington

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