| 2025 | CVPR | OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. | Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover |
| 2025 | ICCV | 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 |
| 2024 | ECCV | BootPIG: Bootstrapping Zero-Shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. | Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik |
| 2024 | ICLR | 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 |
| 2023 | CVPR | EDICT: Exact Diffusion Inversion via Coupled Transformations. | Bram Wallace, Akash Gokul, Nikhil Naik |
| 2023 | ICCV | End-to-End Diffusion Latent Optimization Improves Classifier Guidance. | Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik |
| 2021 | ICLR | Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. | Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell |