Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework. - Lucas Spangher; Akash Gokul; Manan Khattar; Joseph Palakapilly; Akaash Tawade; Adam Bouyamourn; Alex Devonport; Costas J. Spanos (e-Energy, 2020)

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. - Sayna Ebrahimi; Suzanne Petryk; Akash Gokul; William Gan; Joseph E. Gonzalez; Marcus Rohrbach; Trevor Darrell (ICLR, 2021)

Refine and Represent: Region-to-Object Representation Learning. - Akash Gokul; Konstantinos Kallidromitis; Shufan Li; Yusuke Kato; Kazuki Kozuka; Trevor Darrell; Colorado J. Reed (CoRR, 2022)

Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. - Kevin Miao; Akash Gokul; Raghav Singh; Suzanne Petryk; Joseph Gonzalez 001; Kurt Keutzer; Trevor Darrell; Colorado Reed (CoRR, 2022)

EDICT: Exact Diffusion Inversion via Coupled Transformations. - Bram Wallace; Akash Gokul; Nikhil Naik (CVPR, 2023)

End-to-End Diffusion Latent Optimization Improves Classifier Guidance. - Bram Wallace; Akash Gokul; Stefano Ermon; Nikhil Naik (ICCV, 2023)

REX: Rapid Exploration and eXploitation for AI Agents. - Rithesh Murthy; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Le Xue; Weiran Yao; Yihao Feng; Zeyuan Chen 001; Akash Gokul; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

BootPIG: Bootstrapping Zero-Shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. - Senthil Purushwalkam; Akash Gokul; Shafiq Joty; Nikhil Naik (ECCV Workshops (20), 2024)

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. - Hung Le 003; Hailin Chen; Amrita Saha; Akash Gokul; Doyen Sahoo; Shafiq Joty (ICLR, 2024)

Aligning Diffusion Models by Optimizing Human Utility. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Yusuke Kato; Kazuki Kozuka (NeurIPS, 2024)

OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Zichun Liao; Yusuke Kato; Kazuki Kozuka; Aditya Grover (CVPR, 2025)

Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Arsh Koneru; Yusuke Kato; Kazuki Kozuka; Aditya Grover (CoRR, 2025)

xGen-small Technical Report. - Erik Nijkamp; Bo Pang 004; Egor Pakhomov; Akash Gokul; Jin Qu; Silvio Savarese; Yingbo Zhou; Caiming Xiong (CoRR, 2025)

LaViDa: A Large Diffusion Language Model for Multimodal Understanding. - Shufan Li; Konstantinos Kallidromitis; Hritik Bansal; Akash Gokul; Yusuke Kato; Kazuki Kozuka; Jason Kuen; Zhe Lin; Kai-Wei Chang; Aditya Grover (CoRR, 2025)