Priyatham Kattakinda

According to our database, Priyatham Kattakinda authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement.

Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Adrienne Raglin, Anjon Basak, Soheil Feizi

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2025

Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models.

Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning.

Neha Mukund Kalibhat, Priyatham Kattakinda, Sumit Nawathe, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Understanding and Improving Reliability of Predictive and Generative Deep Learning Models.

Priyatham Kattakinda

PhD thesis, 2024

Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models.

Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi

CoRR, 2024

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning.

Neha Mukund Kalibhat, Priyatham Kattakinda, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi

CoRR, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan A. Rossi, Cherry Zhao, Vlad I. Morariu, Varun Manjunatha, Soheil Feizi

CoRR, 2024

LLM-Check: Investigating Detection of Hallucinations in Large Language Models.

Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fast Adversarial Attacks on Language Models In One GPU Minute.

Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Invariant Learning via Diffusion Dreamed Distribution Shifts.

Priyatham Kattakinda, Alexander Levine, Soheil Feizi

CoRR, 2022

FOCUS: Familiar Objects in Common and Uncommon Settings.

Priyatham Kattakinda, Soheil Feizi

Proceedings of the International Conference on Machine Learning, 2022

2020

Unpaired Image Denoising.

Priyatham Kattakinda, A. N. Rajagopalan

Proceedings of the IEEE International Conference on Image Processing, 2020