Akash Gokul

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Modular Architecture

Reinforcement Learning

Diffusion Models

Laplace Transform

Top Venues

Publications

Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka
Aligning Diffusion Models by Optimizing Human Utility. CoRR (2024)
Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. CoRR (2024)
Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. ICLR (2024)
Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
REX: Rapid Exploration and eXploitation for AI Agents. CoRR (2023)
Bram Wallace, Akash Gokul, Nikhil Naik
EDICT: Exact Diffusion Inversion via Coupled Transformations. CVPR (2023)
Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. CoRR (2023)
Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
End-to-End Diffusion Latent Optimization Improves Classifier Guidance. ICCV (2023)
Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
End-to-End Diffusion Latent Optimization Improves Classifier Guidance. CoRR (2023)
Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR (2022)
Bram Wallace, Akash Gokul, Nikhil Naik
EDICT: Exact Diffusion Inversion via Coupled Transformations. CoRR (2022)
Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed
Refine and Represent: Region-to-Object Representation Learning. CoRR (2022)
Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. ICLR (2021)
Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. CoRR (2020)
Lucas Spangher, Akash Gokul, Manan Khattar, Joseph Palakapilly, Akaash Tawade, Adam Bouyamourn, Alex Devonport, Costas J. Spanos
Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework. e-Energy (2020)