Optimized Coverage Planning for UV Surface Disinfection. - João Marcos Correia Marques; Ramya Ramalingam; Zherong Pan; Kris Hauser (ICRA, 2021)

Reconciliation Reconsidered: In Search of a Most Representative Reconciliation in the Duplication-Transfer-Loss Model. - Melissa Grueter; Kalani Duran; Ramya Ramalingam; Ran Libeskind-Hadas (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Bounding Generalization Error Through Bias and Capacity. - Ramya Ramalingam; Nicolas A. Espinosa Dice; Megan L. Kaye; George D. Montañez (IJCNN, 2022)

Practical Adversarial Multivalid Conformal Prediction. - Osbert Bastani; Varun Gupta 006; Christopher Jung 001; Georgy Noarov; Ramya Ramalingam; Aaron Roth 001 (NeurIPS, 2022)

Batch Multivalid Conformal Prediction. - Christopher Jung 001; Georgy Noarov; Ramya Ramalingam; Aaron Roth 001 (ICLR, 2023)

High-Dimensional Prediction for Sequential Decision Making. - Georgy Noarov; Ramya Ramalingam; Aaron Roth 001; Stephan Xie (CoRR, 2023)

Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction. - Ramya Ramalingam; Sangdon Park 001; Osbert Bastani (CoRR, 2024)

The Relationship between No-Regret Learning and Online Conformal Prediction. - Ramya Ramalingam; Shayan Kiyani; Aaron Roth 001 (CoRR, 2025)

A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions. - Stephen Mell; Botong Zhang; David Mell; Shuo Li; Ramya Ramalingam; Nathan Yu; Steve Zdancewic; Osbert Bastani (CoRR, 2025)

Active Learning for Neurosymbolic Program Synthesis. - Celeste Barnaby; Qiaochu Chen; Ramya Ramalingam; Osbert Bastani; Isil Dillig (CoRR, 2025)