| 2026 | WACV | Distilling Diversity and Control in Diffusion Models. | Rohit Gandikota, David Bau |
| 2025 | ICCV | SliderSpace: Decomposing the Visual Capabilities of Diffusion Models. | Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin |
| 2024 | ECCV | Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. | Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau |
| 2024 | WACV | Unified Concept Editing in Diffusion Models. | Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau |
| 2023 | ICCV | Erasing Concepts from Diffusion Models. | Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau |
| 2022 | BMVC | Pro-DDPM: Progressive Growing of Variable Denoising Diffusion Probabilistic Models for Faster Convergence. | Rohit Gandikota, Nicholas Brown |
| 2022 | IGARSS | Dismon-Gan: 247 All-Weather Optical Domain Surveillance Using Progressively Growing Adversarial Networks with Patch Discriminator. | Rohit Gandikota, Deepak Mishra |
| 2022 | IGARSS | Pixel Noise Localization Algorithm for Indian Satellite Data Quality Control: A Novel Approach. | Rohit Gandikota, ManjuSarma M |
| 2020 | IGARSS | RTC-GAN: REAL-TIME CLASSIFICATION OF SATELLITE IMAGERY USING DEEP GENERATIVE ADVERSARIAL NETWORKS WITH INFUSED SPECTRAL INFORMATION. | Rohit Gandikota, Radha Krishna K, Anupama Sharma, ManjuSarma M, Vinod M. Bothale |
| 2019 | Tencon | How You See Me: Understanding Convolutional Neural Networks. | Rohit Gandikota, Deepak Mishra |