Kavya Ravichandran

Publications

• K. Ravichandran, Y. Dandi, S. Karp, F. Mignacco. "Learning from setbacks: the impact of adversarial initialization on generalization performance" Mathematics for Modern Machine Learning Workshop at NeurIPS 2023: New Orleans, LA. Paper and poster presentation: December 2023.
• M. Aliakbarpour, A.S. Biswas, K. Ravichandran , R. Rubinfeld. "Testing Tail Weight of a Distribution Via Hazard Rate." Proceedings of The 34th International Conference on Algorithmic Learning Theory in Proceedings of Machine Learning Research 201:34-81.
• M.S. Nacson, K. Ravichandran, D. Soudry, N. Srebro. "Implicit Bias of the Step Size in Linear Diagonal Neural Networks." Proceedings of the 39th International Conference on Machine Learning, in Proceedings of Machine Learning Research. 162:16270-16295.
• K. Ravichandran, A. Jain, A. Rakhlin. "Using Effective Dimension to Analyze Feature Transformations in Deep Neural Networks." Identifying and Understanding Phenomena in Deep Learning Workshop: Long Beach, CA. Paper and poster presentation: June 2019
• S. De Silva*, R. Pinnamaneni*, K. Ravichandran*, A. Fadaq*, Y. Mei*, V. Sin*. "Yellow Fever in Brazil: Using Novel Data Sources to Produce Localized Policy Recommendations." To appear in: Leveraging Big Data in Global Health. Edited by: Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordoñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai. Springer. Under publication.
• K. Ravichandran*, N. Braman*, A. Janowczyk, A. Madabhushi. "A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI." SPIE Medical Imaging: Houston, TX. February 2018.
• C. L. Pawlowski, W. Li, M. Sun, K. Ravichandran, D. Hickman, C. Kos, G. Kaur, A. Sen Gupta. "Platelet microparticle-inspired clot-responsive nanomedicine for targeted fibrinolysis." Biomaterials: 128 (2017) 94-108

Peer-Reviewed Abstracts

• K. Ravichandran, A. Bhiwandiwalla, H. Tang. “Using Multi-Task Learning to Improve Out-of-Distribution Generalization in 2D Pose Estimation.” Women in Machine Learning: Montreal, Canada. Poster presentation: December 2018.
• N. Braman, K. Ravichandran, A. Janowczyk, J. Abraham, A. Madabhushi. “Predicting neo-adjuvant chemotherapy response from pre-treatment breast MRI using machine learning and HER2 status.” Journal of Clinical Oncology 2018 36:15_suppl, 582-582.
• K. Ravichandran, N. Braman, A. Janowczyk, A. Madabhushi. “A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from multiple contrast phases of baseline breast DCE-MRI.” Women in Machine Learning: Long Beach, CA. Poster presentation: December 2017.

Preprints and Technical Reports

• A. Blum, K. Ravichandran. (2023) “A Model for Combinatorial Dictionary Learning and Inference.”
• We scribed Nati Srebro's lecture series at the Les Houches summer school in 2022 on Statistical Physics and Machine Learning. They are available on arxiv and are due to be published. Gerbelot, C., Karagulyan, A., Karp, S., Ravichandran, K., Stern, M., & Srebro, N. (2023). Applying statistical learning theory to deep learning.