Gokul, Akash

10 publications

NeurIPS 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

CVPR 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

ICCV 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

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

ECCVW 2024 BootPIG: Bootstrapping Zero-Shot Personalized Image Generation Capabilities in Pretrained Diffusion Models Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik

ICLR 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

ICLRW 2024 REX: Rapid Exploration and eXploitation for AI Agents R N Rithesh, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese

CVPR 2023 EDICT: Exact Diffusion Inversion via Coupled Transformations Bram Wallace, Akash Gokul, Nikhil Naik

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

ICLR 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