Gokaslan, Aaron

37 publications

ICLR 2025 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

NeurIPS 2025 Encoder-Decoder Diffusion Language Models for Efficient Training and Inference Marianne Arriola, Yair Schiff, Hao Phung, Aaron Gokaslan, Volodymyr Kuleshov

ICLRW 2025 MeMDLM: De Novo Membrane Protein Design with Property-Guided Discrete Diffusion Shrey Goel, Vishrut Thoutam, Edgar Mariano Marroquin, Aaron Gokaslan, Arash Firouzbakht, Sophia Vincoff, Volodymyr Kuleshov, Huong T. Kratochvil, Pranam Chatterjee

NeurIPS 2025 Position: Benchmarking Is Broken - Don't Let AI Be Its Own Judge Zerui Cheng, Stella Wohnig, Ruchika Gupta, Samiul Alam, Tassallah Abdullahi, João Alves Ribeiro, Christian Nielsen-Garcia, Saif Mir, Siran Li, Jason Orender, Seyed Ali Bahrainian, Daniel Kirste, Aaron Gokaslan, Carsten Eickhoff, Ruben Wolff

NeurIPS 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, Shayne Longpre, Lintang Sutawika, Alon Albalak, Zhenlin Xu, Guilherme Penedo, Loubna Ben Allal, Elie Bakouch, John David Pressman, Honglu Fan, Dashiell Stander, Guangyu Song, Aaron Gokaslan, John Kirchenbauer, Tom Goldstein, Brian R. Bartoldson, Bhavya Kailkhura, Tyler Murray

ICML 2025 The Diffusion Duality Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T Chiu, Volodymyr Kuleshov

ICLRW 2025 The Diffusion Duality Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T Chiu, Volodymyr Kuleshov

ICLRW 2024 Advancing Dna Language Models: The Genomics Long-Range Benchmark Chia Hsiang Kao, Evan Trop, McKinley Polen, Yair Schiff, Bernardo P de Almeida, Aaron Gokaslan, Thomas Pierrot, Volodymyr Kuleshov

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

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

CVPR 2024 CommonCanvas: 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

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 Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

NeurIPS 2024 Diffusion Models with Learned Adaptive Noise Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov

NeurIPSW 2024 Diffusion Models with Learned Adaptive Noise Subham Sekhar Sahoo, Aaron Gokaslan, Christopher De Sa, Volodymyr Kuleshov

NeurIPSW 2024 Diffusion Models with Learned Adaptive Noise Processes Subham Sekhar Sahoo, Aaron Gokaslan, Christopher De Sa, Volodymyr Kuleshov

NeurIPSW 2024 MeMDLM: De Novo Membrane Protein Design with Masked Discrete Diffusion Protein Language Models Shrey Goel, Vishrut Thoutam, Edgar Mariano Marroquin, Aaron Gokaslan, Arash Firouzbakht, Sophia Vincoff, Volodymyr Kuleshov, Huong T. Kratochvil, Pranam Chatterjee

ICML 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

NeurIPS 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov

ICMLW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Edgar Mariano Marroquin, Alexander M Rush, Yair Schiff, Justin T Chiu, Volodymyr Kuleshov

NeurIPSW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Yair Schiff, Edgar Mariano Marroquin, Justin T Chiu, Alexander M Rush, Volodymyr Kuleshov

ICMLW 2024 The GAN Is Dead; Long Live the GAN! a Modern Baseline GAN Nick Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin

NeurIPS 2024 The GAN Is Dead; Long Live the GAN! a Modern GAN Baseline Yiwen Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin

NeurIPSW 2024 The GAN Is Dead; Long Live the GAN! a Modern GAN Baseline Nick Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin

ICMLW 2024 Vid3D: Synthesis of Dynamic 3D Scenes Using 2D Video Diffusion Rishab Parthasarathy, Zachary Ankner, Aaron Gokaslan

CVPR 2023 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, Theo Gervet, John Turner, Aaron Gokaslan, Noah Maestre, Angel Xuan Chang, Dhruv Batra, Manolis Savva, Alexander William Clegg, Devendra Singh Chaplot

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

NeurIPS 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 Šaško, Quentin Lhoest, Angelina McMillan-Major, Gerard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel Van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Alexandra Luccioni, Yacine Jernite

NeurIPS 2021 Habitat 2.0: Training Home Assistants to Rearrange Their Habitat Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimír Vondruš, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra

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

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

ICCV 2021 Waypoint Models for Instruction-Guided Navigation in Continuous Environments Jacob Krantz, Aaron Gokaslan, Dhruv Batra, Stefan Lee, Oleksandr Maksymets

ECCV 2020 MatryODShka: Real-Time 6DoF Video View Synthesis Using Multi-Sphere Images Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin

ECCV 2018 Improving Shape Deformation in Unsupervised Image-to-Image Translation Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin