Extending web applications with a lightweight zero knowledge proof authentication. - Slawomir Grzonkowski; Wojciech Zaremba; Maciej Zaremba; Bill McDaniel (CSTST, 2008)

Modeling the variability of EEG/MEG data through statistical machine learning. - Wojciech Zaremba (2012)

JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units. - Wojciech Zaremba; Yuan Lin; Vinod Grover (GPGPU@ASPLOS, 2012)

Learning from M/EEG Data with Variable Brain Activation Delays. - Wojciech Zaremba; M. Pawan Kumar; Alexandre Gramfort; Matthew B. Blaschko (IPMI, 2013)

B-test: A Non-parametric, Low Variance Kernel Two-sample Test. - Wojciech Zaremba; Arthur Gretton; Matthew B. Blaschko (NIPS, 2013)

Taxonomic Prediction with Tree-Structured Covariances. - Matthew B. Blaschko; Wojciech Zaremba; Arthur Gretton (ECML/PKDD (2), 2013)

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. - Emily L. Denton; Wojciech Zaremba; Joan Bruna; Yann LeCun; Rob Fergus (NIPS, 2014)

Learning to Discover Efficient Mathematical Identities. - Wojciech Zaremba; Karol Kurach; Rob Fergus (NIPS, 2014)

Spectral Networks and Locally Connected Networks on Graphs. - Joan Bruna; Wojciech Zaremba; Arthur Szlam; Yann LeCun (ICLR, 2014)

Intriguing properties of neural networks. - Christian Szegedy; Wojciech Zaremba; Ilya Sutskever; Joan Bruna; Dumitru Erhan; Ian J. Goodfellow; Rob Fergus (ICLR (Poster), 2014)

Learning to Execute. - Wojciech Zaremba; Ilya Sutskever (CoRR, 2014)

Recurrent Neural Network Regularization. - Wojciech Zaremba; Ilya Sutskever; Oriol Vinyals (CoRR, 2014)

Addressing the Rare Word Problem in Neural Machine Translation. - Thang Luong; Ilya Sutskever; Quoc V. Le; Oriol Vinyals; Wojciech Zaremba (ACL (1), 2015)

Deep Neural Networks Predict Category Typicality Ratings for Images. - Brenden M. Lake; Wojciech Zaremba; Rob Fergus; Todd M. Gureckis (CogSci, 2015)

An Empirical Exploration of Recurrent Network Architectures. - Rafal Józefowicz; Wojciech Zaremba; Ilya Sutskever (ICML, 2015)

Scale-invariant learning and convolutional networks. - Soumith Chintala; Marc'Aurelio Ranzato; Arthur Szlam; Yuandong Tian; Mark Tygert; Wojciech Zaremba (CoRR, 2015)

Reinforcement Learning Neural Turing Machines. - Wojciech Zaremba; Ilya Sutskever (CoRR, 2015)

Learning Simple Algorithms from Examples. - Wojciech Zaremba; Tomás Mikolov; Armand Joulin; Rob Fergus (ICML, 2016)

Improved Techniques for Training GANs. - Tim Salimans; Ian J. Goodfellow; Wojciech Zaremba; Vicki Cheung; Alec Radford; Xi Chen 022 (NIPS, 2016)

Discriminative training of CRF models with probably submodular constraints. - Wojciech Zaremba; Matthew B. Blaschko (WACV, 2016)

OpenAI Gym. - Greg Brockman; Vicki Cheung; Ludwig Pettersson; Jonas Schneider 002; John Schulman; Jie Tang; Wojciech Zaremba (CoRR, 2016)

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model. - Paul F. Christiano; Zain Shah; Igor Mordatch; Jonas Schneider 002; Trevor Blackwell; Joshua Tobin; Pieter Abbeel; Wojciech Zaremba (CoRR, 2016)

Extensions and Limitations of the Neural GPU. - Eric Price 001; Wojciech Zaremba; Ilya Sutskever (CoRR, 2016)

Sequence Level Training with Recurrent Neural Networks. - Marc'Aurelio Ranzato; Sumit Chopra; Michael Auli; Wojciech Zaremba (ICLR (Poster), 2016)

Learning Algorithms from Data. - Wojciech Zaremba (2016)

Domain randomization for transferring deep neural networks from simulation to the real world. - Josh Tobin; Rachel Fong; Alex Ray; Jonas Schneider 002; Wojciech Zaremba; Pieter Abbeel (IROS, 2017)

Hindsight Experience Replay. - Marcin Andrychowicz; Dwight Crow; Alex Ray; Jonas Schneider 002; Rachel Fong; Peter Welinder; Bob McGrew; Josh Tobin; Pieter Abbeel; Wojciech Zaremba (NIPS, 2017)

One-Shot Imitation Learning. - Yan Duan; Marcin Andrychowicz; Bradly C. Stadie; Jonathan Ho; Jonas Schneider 002; Ilya Sutskever; Pieter Abbeel; Wojciech Zaremba (NIPS, 2017)

Hindsight Experience Replay. - Marcin Andrychowicz; Filip Wolski; Alex Ray; Jonas Schneider 002; Rachel Fong; Peter Welinder; Bob McGrew; Josh Tobin; Pieter Abbeel; Wojciech Zaremba (CoRR, 2017)

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World. - Joshua Tobin; Rachel Fong; Alex Ray; Jonas Schneider 002; Wojciech Zaremba; Pieter Abbeel (CoRR, 2017)

Domain Randomization and Generative Models for Robotic Grasping. - Joshua Tobin; Wojciech Zaremba; Pieter Abbeel (CoRR, 2017)

Overcoming Exploration in Reinforcement Learning with Demonstrations. - Ashvin Nair; Bob McGrew; Marcin Andrychowicz; Wojciech Zaremba; Pieter Abbeel (ICRA, 2018)

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. - Xue Bin Peng; Marcin Andrychowicz; Wojciech Zaremba; Pieter Abbeel (ICRA, 2018)

Domain Randomization and Generative Models for Robotic Grasping. - Josh Tobin; Lukas Biewald; Rocky Duan; Marcin Andrychowicz; Ankur Handa; Vikash Kumar; Bob McGrew; Alex Ray; Jonas Schneider 002; Peter Welinder; Wojciech Zaremba; Pieter Abbeel (IROS, 2018)

Asymmetric Actor Critic for Image-Based Robot Learning. - Lerrel Pinto; Marcin Andrychowicz; Peter Welinder; Wojciech Zaremba; Pieter Abbeel (Robotics: Science and Systems, 2018)

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research. - Matthias Plappert; Marcin Andrychowicz; Alex Ray; Bob McGrew; Bowen Baker; Glenn Powell; Jonas Schneider 002; Josh Tobin; Maciek Chociej; Peter Welinder; Vikash Kumar; Wojciech Zaremba (CoRR, 2018)

Learning Dexterous In-Hand Manipulation. - OpenAI; Marcin Andrychowicz; Bowen Baker; Maciek Chociej; Rafal Józefowicz; Bob McGrew; Jakub Pachocki; Arthur Petron; Matthias Plappert; Glenn Powell; Alex Ray; Jonas Schneider 002; et al. (CoRR, 2018)

Geometry-Aware Neural Rendering. - Joshua Tobin; Wojciech Zaremba; Pieter Abbeel (NeurIPS, 2019)

Solving Rubik's Cube with a Robot Hand. - OpenAI; Ilge Akkaya; Marcin Andrychowicz; Maciek Chociej; Mateusz Litwin; Bob McGrew; Arthur Petron; Alex Paino; Matthias Plappert; Glenn Powell; Raphael Ribas; Jonas Schneider 002; et al. (CoRR, 2019)

Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models. - Lei M. Zhang; Matthias Plappert; Wojciech Zaremba (CoRR, 2020)

Learning dexterous in-hand manipulation. - Marcin Andrychowicz; Bowen Baker; Maciek Chociej; Rafal Józefowicz; Bob McGrew; Jakub Pachocki; Arthur Petron; Matthias Plappert; Glenn Powell; Alex Ray; Jonas Schneider 002; Szymon Sidor; et al. (Int. J. Robotics Res., 2020)

Asymmetric self-play for automatic goal discovery in robotic manipulation. - OpenAI; Matthias Plappert; Raul Sampedro; Tao Xu; Ilge Akkaya; Vineet Kosaraju; Peter Welinder; Ruben D'Sa; Arthur Petron; Henrique Pondé de Oliveira Pinto; Alex Paino; Hyeonwoo Noh; et al. (CoRR, 2021)

A Generalizable Approach to Learning Optimizers. - Diogo Almeida; Clemens Winter; Jie Tang; Wojciech Zaremba (CoRR, 2021)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

Trading Inference-Time Compute for Adversarial Robustness. - Wojciech Zaremba; Evgenia Nitishinskaya; Boaz Barak; Stephanie Lin; Sam Toyer; Yaodong Yu; Rachel Dias; Eric Wallace; Kai Xiao; Johannes Heidecke; Amelia Glaese (CoRR, 2025)

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation. - Bowen Baker; Joost Huizinga; Leo Gao; Zehao Dou; Melody Y. Guan; Aleksander Madry; Wojciech Zaremba; Jakub Pachocki; David Farhi (CoRR, 2025)

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. - Tomek Korbak; Mikita Balesni; Elizabeth Barnes; Yoshua Bengio; Joe Benton; Joseph Bloom; Mark Chen 003; Alan Cooney; Allan Dafoe; Anca D. Dragan; Scott Emmons; Owain Evans; et al. (CoRR, 2025)