Aaron Gokaslan

I am a 4th year PhD Candidate at Cornell University advised by Volodymyr Kuleshov. Previously, I was a Facebook AI Resident advised by Dhruv Batra. Before that, I did my masters and undergrad at Brown University with James Tompkin. Please see my Google Scholar for my most up to date publication list. My work has been recognized by orals and invited talks at top conference. I have received awards for my open source contributions from the Linux Foundation and Mozilla.

This website is under active construction.

Email / CV / Google Scholar / Twitter / Github

Research


	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, Gerard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell FAccT, 2022
	Habitat-Matterport 3D Semantics Dataset. Karmesh Yadav, Ram Ramrakhya, Santhosh Kumar Ramakrishnan, Théophile Gervet, John Turner, Aaron Gokaslan, Noah Maestre, Angel Xuan Chang, Dhruv Batra, Manolis Savva, Alexander William Clegg, Devendra Singh Chaplot arXiv, 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, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al. arXiv, 2022
	GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes. Youssef Alami Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin BMVC, 2021
	Waypoint Models for Instruction-guided Navigation in Continuous Environments. Jacob Krantz, Aaron Gokaslan, Dhruv Batra, Stefan Lee, Oleksandr Maksymets ICCV, 2021 Oral Presentation: Top (3%/210) of all (6236) submission
	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, Christian Richardt, James Tompkin, 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 Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel X. Chang, Manolis Savva, Yili Zhao, Dhruv Batra 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 Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra NeurIPS, 2021 Spotlight: Top 3% of papers
	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 and International Conference on Intelligent Robots and Systems, 2020
	MatryODShka: Real-time 6DoF Video View Synthesis Using Multi-sphere Images. Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin ECCV, 2020 Oral Presentation: Top 2% out of 5025 submissions
	Generating Object Stamps. Youssef Alami Mejjati, Zejiang Shen, Michael Snower, Aaron Gokaslan, Oliver Wang, James Tompkin, Kwang In Kim arXiv, 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 arXiv, 2020
	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 arXiv, 2019
	GANimorph: Improving Shape Deformation in Unsupervised Image to Image Translation Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, and James Tompkin ECCV, 2018 code
	The eye of the typer: a benchmark and analysis of gaze behavior during typing. Alexandra Papoutsaki, Aaron Gokaslan, James Tompkin, Yuze He, Jeff Huang ETRA, 2018

This website is based on Jon Barron's source code,