PatchGame: Learning to Signal Mid-level Patches in Referential Games. - Kamal Gupta 002; Gowthami Somepalli; Anubhav Gupta; Vinoj Yasanga Jayasundara Magalle Hewa; Matthias Zwicker; Abhinav Shrivastava (NeurIPS, 2021)

Unsupervised anomaly detection with adversarial mirrored autoencoders. - Gowthami Somepalli; Yexin Wu; Yogesh Balaji; Bhanukiran Vinzamuri; Soheil Feizi (UAI, 2021)

What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors. - Jonas Geiping; Liam Fowl; Gowthami Somepalli; Micah Goldblum; Michael Moeller 001; Tom Goldstein (CoRR, 2021)

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training. - Gowthami Somepalli; Micah Goldblum; Avi Schwarzschild; C. Bayan Bruss; Tom Goldstein (CoRR, 2021)

Prioritizing and characterizing functionally relevant genes across human tissues. - Gowthami Somepalli; Sarthak Sahoo; Arashdeep Singh; Sridhar Hannenhalli (PLoS Comput. Biol., 2021)

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 (CVPR, 2022)

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models. - Gowthami Somepalli; Vasu Singla; Micah Goldblum; Jonas Geiping; Tom Goldstein (CVPR, 2023)

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 (ICLR, 2023)

A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning. - Valeriia Cherepanova; Roman Levin; Gowthami Somepalli; Jonas Geiping; C. Bayan Bruss; Andrew Gordon Wilson; Tom Goldstein; Micah Goldblum (NeurIPS, 2023)

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. - Micah Goldblum; Hossein Souri; Renkun Ni; Manli Shu; Viraj Prabhu; Gowthami Somepalli; Prithvijit Chattopadhyay; Mark Ibrahim; Adrien Bardes; Judy Hoffman; Rama Chellappa; Andrew Gordon Wilson; et al. (NeurIPS, 2023)

Understanding and Mitigating Copying in Diffusion Models. - Gowthami Somepalli; Vasu Singla; Micah Goldblum; Jonas Geiping; Tom Goldstein (NeurIPS, 2023)

Baseline Defenses for Adversarial Attacks Against Aligned Language Models. - Neel Jain; Avi Schwarzschild; Yuxin Wen; Gowthami Somepalli; John Kirchenbauer; Ping-yeh Chiang; Micah Goldblum; Aniruddha Saha; Jonas Geiping; Tom Goldstein (CoRR, 2023)

Investigating Style Similarity in Diffusion Models. - Gowthami Somepalli; Anubhav Gupta; Kamal Gupta 002; Shramay Palta; Micah Goldblum; Jonas Geiping; Abhinav Shrivastava; Tom Goldstein (ECCV (66), 2024)

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; et al. (ICLR, 2024)

Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. - Abhimanyu Hans; John Kirchenbauer; Yuxin Wen; Neel Jain; Hamid Kazemi; Prajwal Singhania; Siddharth Singh; Gowthami Somepalli; Jonas Geiping; Abhinav Bhatele; Tom Goldstein (NeurIPS, 2024)

CALVIN: Improved Contextual Video Captioning via Instruction Tuning. - Gowthami Somepalli; Arkabandhu Chowdhury; Jonas Geiping; Ronen Basri; Tom Goldstein; David Jacobs 001 (NeurIPS, 2024)

Measuring Style Similarity in Diffusion Models. - Gowthami Somepalli; Anubhav Gupta; Kamal Gupta 002; Shramay Palta; Micah Goldblum; Jonas Geiping; Abhinav Shrivastava; Tom Goldstein (CoRR, 2024)

LMD3: Language Model Data Density Dependence. - John Kirchenbauer; Garrett Honke; Gowthami Somepalli; Jonas Geiping; Daphne Ippolito; Katherine Lee; Tom Goldstein; David Andre (CoRR, 2024)

CinePile: A Long Video Question Answering Dataset and Benchmark. - Ruchit Rawal; Khalid Saifullah; Ronen Basri; David Jacobs 001; Gowthami Somepalli; Tom Goldstein (CoRR, 2024)

From Pixels to Prose: A Large Dataset of Dense Image Captions. - Vasu Singla; Kaiyu Yue; Sukriti Paul; Reza Shirkavand; Mayuka Jayawardhana; Alireza Ganjdanesh; Heng Huang; Abhinav Bhatele; Gowthami Somepalli; Tom Goldstein (CoRR, 2024)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. - Reza Shirkavand; Peiran Yu; Shangqian Gao; Gowthami Somepalli; Tom Goldstein; Heng Huang (CVPR, 2025)

SolidMark: Evaluating Image Memorization in Generative Models. - Nicky Kriplani; Minh Pham 005; Gowthami Somepalli; Chinmay Hegde; Niv Cohen (CoRR, 2025)

ARGUS: Hallucination and Omission Evaluation in Video-LLMs. - Ruchit Rawal; Reza Shirkavand; Heng Huang; Gowthami Somepalli; Tom Goldstein (CoRR, 2025)