Improving Shape Deformation in Unsupervised Image-to-Image Translation. - Aaron Gokaslan; Vivek Ramanujan; Daniel Ritchie; Kwang In Kim; James Tompkin 001 (ECCV (12), 2018)

The eye of the typer: a benchmark and analysis of gaze behavior during typing. - Alexandra Papoutsaki; Aaron Gokaslan; James Tompkin 001; Yuze He; Jeff Huang 002 (ETRA, 2018)

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. - Jonathan Chang; Nishanth Kumar; Sean Hastings; Aaron Gokaslan; Diego Romeres; Devesh K. Jha; Daniel Nikovski; George Dimitri Konidaris; Stefanie Tellex (CoRR, 2019)

Are We Making Real Progress in Simulated Environments? Measuring the Sim2Real Gap in Embodied Visual Navigation. - Abhishek Kadian; Joanne Truong; Aaron Gokaslan; Alexander Clegg; Erik Wijmans; Stefan Lee; Manolis Savva; Sonia Chernova; Dhruv Batra (CoRR, 2019)

MatryODShka: Real-time 6DoF Video View Synthesis Using Multi-sphere Images. - Benjamin Attal; Selena Ling; Aaron Gokaslan; Christian Richardt; James Tompkin 001 (ECCV (1), 2020)

Generating Object Stamps. - Youssef Alami Mejjati; Zejiang Shen 001; Michael Snower; Aaron Gokaslan; Oliver Wang; James Tompkin 001; Kwang In Kim (CoRR, 2020)

ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects. - Dhruv Batra; Aaron Gokaslan; Aniruddha Kembhavi; Oleksandr Maksymets; Roozbeh Mottaghi; Manolis Savva; Alexander Toshev; Erik Wijmans (CoRR, 2020)

OpenGPT-2: open language models and implications of generated text. - Vanya Cohen; Aaron Gokaslan (XRDS, 2020)

Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance? - Abhishek Kadian; Joanne Truong; Aaron Gokaslan; Alexander Clegg; Erik Wijmans; Stefan Lee; Manolis Savva; Sonia Chernova; Dhruv Batra (IEEE Robotics Autom. Lett., 2020)

GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes. - Youssef Alami Mejjati; Isa Milefchik; Aaron Gokaslan; Oliver Wang; Kwang In Kim; James Tompkin 001 (BMVC, 2021)

Waypoint Models for Instruction-guided Navigation in Continuous Environments. - Jacob Krantz; Aaron Gokaslan; Dhruv Batra; Stefan Lee; Oleksandr Maksymets (ICCV, 2021)

THDA: Treasure Hunt Data Augmentation for Semantic Navigation. - Oleksandr Maksymets; Vincent Cartillier; Aaron Gokaslan; Erik Wijmans; Wojciech Galuba; Stefan Lee; Dhruv Batra (ICCV, 2021)

TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis. - Benjamin Attal; Eliot Laidlaw; Aaron Gokaslan; Changil Kim 001; Christian Richardt; James Tompkin 001; Matthew O'Toole (NeurIPS, 2021)

Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI. - Santhosh Kumar Ramakrishnan; Aaron Gokaslan; Erik Wijmans; Oleksandr Maksymets; Alexander Clegg; John M. Turner; Eric Undersander; Wojciech Galuba; Andrew Westbury; Angel X. Chang; Manolis Savva; Yili Zhao; et al. (NeurIPS Datasets and Benchmarks, 2021)

Habitat 2.0: Training Home Assistants to Rearrange their Habitat. - Andrew Szot; Alexander Clegg; Eric Undersander; Erik Wijmans; Yili Zhao; John M. Turner; Noah Maestre; Mustafa Mukadam; Devendra Singh Chaplot; Oleksandr Maksymets; Aaron Gokaslan; Vladimir Vondrus; et al. (NeurIPS, 2021)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Isaac Johnson 001; Gérard Dupont; Jesse Dodge; et al. (FAccT, 2022)

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. - Hugo Laurençon; Lucile Saulnier; Thomas Wang; Christopher Akiki; Albert Villanova del Moral; Teven Le Scao; Leandro von Werra; Chenghao Mou; Eduardo González Ponferrada; Huu Nguyen; Jörg Frohberg; Mario Sasko; et al. (NeurIPS, 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Gérard Dupont; Jesse Dodge; Kyle Lo; et al. (CoRR, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - Teven Le Scao; Angela Fan; Christopher Akiki; Ellie Pavlick; Suzana Ilic; Daniel Hesslow; Roman Castagné; Alexandra Sasha Luccioni; François Yvon; Matthias Gallé; Jonathan Tow; Alexander M. Rush; et al. (CoRR, 2022)

Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. - Vincent-Pierre Berges; Andrew Szot; Devendra Singh Chaplot; Aaron Gokaslan; Roozbeh Mottaghi; Dhruv Batra; Eric Undersander (CVPR, 2023)

Habitat-Matterport 3D Semantics Dataset. - Karmesh Yadav; Ram Ramrakhya; Santhosh Kumar Ramakrishnan; Théophile Gervet; John M. Turner; Aaron Gokaslan; Noah Maestre; Angel Xuan Chang; Dhruv Batra; Manolis Savva; Alexander William Clegg; Devendra Singh Chaplot (CVPR, 2023)

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. - Yingheng Wang; Yair Schiff; Aaron Gokaslan; Weishen Pan; Fei Wang 001; Christopher De Sa; Volodymyr Kuleshov (ICML, 2023)

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images. - Aaron Gokaslan; A. Feder Cooper; Jasmine Collins; Landan Seguin; Austin Jacobson; Mihir Patel; Jonathan Frankle; Cory Stephenson; Volodymyr Kuleshov (CoRR, 2023)

Common Canvas: Open Diffusion Models Trained on Creative-Commons Images. - Aaron Gokaslan; A. Feder Cooper; Jasmine Collins; Landan Seguin; Austin Jacobson; Mihir Patel; Jonathan Frankle; Cory Stephenson; Volodymyr Kuleshov (CVPR, 2024)

Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI. - Daniel McDuff; Tim Korjakow; Scott Cambo; Jesse Josua Benjamin; Jenny Lee; Yacine Jernite; Carlos Muñoz Ferrandis; Aaron Gokaslan; Alek Tarkowski; Joseph Lindley; A. Feder Cooper; Danish Contractor (ICML, 2024)

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling. - Yair Schiff; Chia-Hsiang Kao; Aaron Gokaslan; Tri Dao; Albert Gu; Volodymyr Kuleshov (ICML, 2024)

The GAN is dead; long live the GAN! A Modern GAN Baseline. - Nick Huang; Aaron Gokaslan; Volodymyr Kuleshov; James Tompkin 001 (NeurIPS, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Simple and Effective Masked Diffusion Language Models. - Subham S. Sahoo; Marianne Arriola; Yair Schiff; Aaron Gokaslan; Edgar Marroquin; Justin T. Chiu; Alexander Rush; Volodymyr Kuleshov (NeurIPS, 2024)

Diffusion Models With Learned Adaptive Noise. - Subham S. Sahoo; Aaron Gokaslan; Christopher De Sa; Volodymyr Kuleshov (NeurIPS, 2024)

On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI. - Daniel McDuff; Tim Korjakow; Scott Cambo; Jesse Josua Benjamin; Jenny Lee; Yacine Jernite; Carlos Muñoz Ferrandis; Aaron Gokaslan; Alek Tarkowski; Joseph Lindley; A. Feder Cooper; Danish Contractor (CoRR, 2024)

Simple and Effective Masked Diffusion Language Models. - Subham Sekhar Sahoo; Marianne Arriola; Yair Schiff; Aaron Gokaslan; Edgar Marroquin; Justin T. Chiu; Alexander M. Rush; Volodymyr Kuleshov (CoRR, 2024)

Vid3D: Synthesis of Dynamic 3D Scenes using 2D Video Diffusion. - Rishab Parthasarathy; Zachary Ankner; Aaron Gokaslan (CoRR, 2024)

Self-Directed Synthetic Dialogues and Revisions Technical Report. - Nathan Lambert 001; Hailey Schoelkopf; Aaron Gokaslan; Luca Soldaini; Valentina Pyatkin; Louis Castricato (CoRR, 2024)

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models. - Marianne Arriola; Aaron Gokaslan; Justin T. Chiu; Zhihan Yang; Zhixuan Qi; Jiaqi Han; Subham Sekhar Sahoo; Volodymyr Kuleshov (ICLR, 2025)

The GAN is dead; long live the GAN! A Modern GAN Baseline. - Yiwen Huang; Aaron Gokaslan; Volodymyr Kuleshov; James Tompkin 001 (CoRR, 2025)

RanDeS: Randomized Delta Superposition for Multi-Model Compression. - Hangyu Zhou; Aaron Gokaslan; Volodymyr Kuleshov; Bharath Hariharan (CoRR, 2025)

Extracting memorized pieces of (copyrighted) books from open-weight language models. - A. Feder Cooper; Aaron Gokaslan; Amy Cyphert; Christopher De Sa; Mark A. Lemley; Daniel E. Ho; Percy Liang (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text. - Nikhil Kandpal; Brian Lester; Colin Raffel; Sebastian Majstorovic; Stella Biderman; Baber Abbasi; Luca Soldaini; Enrico Shippole; A. Feder Cooper; Aviya Skowron; John Kirchenbauer; Shayne Longpre; et al. (CoRR, 2025)

The Diffusion Duality. - Subham Sekhar Sahoo; Justin Deschenaux; Aaron Gokaslan; Guanghan Wang; Justin T. Chiu; Volodymyr Kuleshov (CoRR, 2025)