Aaron Gokaslan
20 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (11)
π
Conference Polyglot
(7)
π
Academic Marathon
(7)
π§
Keyword Pioneer
π₯
Mega-Team
(60)
π₯
Unstoppable
(6)
π
Conference Pioneer
π
Century Club
(20)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(75)
Conferences
NIPS (7)
ICML (4)
CVPR (3)
ECCV (2)
ICCV (2)
ACL (1)
ICLR (1)
Top co-authors
Keywords
diffusion model
(3)
data curation
(2)
mobile manipulation
(2)
embodied ai
(2)
object goal navigation
(2)
reinforcement learning
(2)
representation learning
(2)
large language model
(2)
image generation
(2)
transfer learning
(1)
depth estimation
(1)
language model training
(1)
image synthesis
(1)
variational inference
(1)
autoregressive generation
(1)
instruction following
(1)
data augmentation
(1)
instance segmentation
(1)
scene understanding
(1)
text-to-image generation
(1)
Papers
The Diffusion Duality
ICML 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
ICLR 2025
The GAN is dead; long live the GAN! A Modern GAN Baseline
NIPS 2024
Diffusion Models With Learned Adaptive Noise
NIPS 2024
Simple and Effective Masked Diffusion Language Models
NIPS 2024
CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images
CVPR 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
ICML 2024
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
ICML 2024
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
CVPR 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
ICML 2023
Habitat-Matterport 3D Semantics Dataset
CVPR 2023
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
NIPS 2022
Emergent Structures and Training Dynamics in Large Language Models
ACL 2022
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
NIPS 2021
THDA: Treasure Hunt Data Augmentation for Semantic Navigation
ICCV 2021
Waypoint Models for Instruction-Guided Navigation in Continuous Environments
ICCV 2021
TΓΆRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
NIPS 2021
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images
ECCV 2020
Improving Shape Deformation in Unsupervised Image-to-Image Translation
ECCV 2018