Gowthami Somepalli
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
5
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. | Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang |
| 2025 | ICCV | ARGUS: Hallucination and Omission Evaluation in Video-LLMs. | Ruchit Rawal, Reza Shirkavand, Heng Huang, Gowthami Somepalli, Tom Goldstein |
| 2024 | ECCV | Investigating Style Similarity in Diffusion Models. | Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein |
| 2024 | ICLR | NEFTune: Noisy Embeddings Improve Instruction Finetuning. | Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | CVPR | Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models. | Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein |
| 2023 | ICLR | How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization. | Jonas Geiping, Micah Goldblum, Gowthami Somepalli, Ravid Shwartz-Ziv, Tom Goldstein, Andrew Gordon Wilson |
| 2022 | CVPR | Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. | Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein |
| 2021 | UAI | Unsupervised anomaly detection with adversarial mirrored autoencoders. | Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi |