Atharva Sehgal

According to our database, Atharva Sehgal authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Programmatic Context Augmentation for LLM-based Symbolic Regression.

Hao Liu, Xiao-Wen Yang, Atharva Sehgal, Yixin Wang, Lan-Zhe Guo, Yu-Feng Li, Yisong Yue

CoRR, May, 2026

Evaluating Agentic Optimization on Large Codebases.

Atharva Sehgal, James Hou, Akanksha Sarkar, Ishaan Mantripragada, Swarat Chaudhuri, Jennifer J. Sun, Yisong Yue

CoRR, March, 2026

2025

Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization.

Xuefei Wang, Kai A. Horstmann, Ethan Lin, Jonathan Chen, Alexander R. Farhang, Sophia Stiles, Atharva Sehgal, Jonathan Light, David Van Valen, Yisong Yue, Jennifer J. Sun

CoRR, December, 2025

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor.

Ethan Lin, Linxi Zhao, Atharva Sehgal, Jennifer J. Sun

CoRR, July, 2025

Self-Evolving Visual Concept Library using Vision-Language Critics.

Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri

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

2024

Symbolic Regression with a Learned Concept Library.

Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles D. Cranmer, Swarat Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Neurosymbolic Grounding for Compositional World Models.

Atharva Sehgal, Arya Grayeli, Jennifer J. Sun, Swarat Chaudhuri

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Neurosymbolic Programming for Science.

Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes

CoRR, 2022

Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination.

Adithya Murali, Atharva Sehgal, Paul Krogmeier, P. Madhusudan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Statheros: Compiler for Efficient Low-Precision Probabilistic Programming.

Jacob Laurel, Rem Yang, Atharva Sehgal, Shubham Ugare, Sasa Misailovic

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021