Akash Gokul

According to our database, Akash Gokul authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 2025

xGen-small Technical Report.

Erik Nijkamp, Bo Pang, Egor Pakhomov, Akash Gokul, Jin Qu, Silvio Savarese, Yingbo Zhou, Caiming Xiong

CoRR, May, 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, March, 2025

OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows.

Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Aligning Diffusion Models by Optimizing Human Utility.

Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules.

Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BootPIG: Bootstrapping Zero-Shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.

Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

REX: Rapid Exploration and eXploitation for AI Agents.

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

CoRR, 2023

End-to-End Diffusion Latent Optimization Improves Classifier Guidance.

Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EDICT: Exact Diffusion Inversion via Coupled Transformations.

Bram Wallace, Akash Gokul, Nikhil Naik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers.

Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed

CoRR, 2022

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

2021

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting.

Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020