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Atharva Sehgal

Symbolic Regression with a Learned Concept Library
2024 · Arya Grayeli, Atharva Sehgal, et al. · neural information processing systems · 14
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Statheros: Compiler for Efficient Low-Precision Probabilistic Programming
2021 · Jacob Laurel, Rem Yang, et al. · ACM/IEEE Design Automation Conference (DAC) · 10
Neurosymbolic Programming for Science
2022 · Sun, Jennifer J., Tjandrasuwita, Megan, et al. · CaltechAUTHORS (California Institute of Technology) · 8
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Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination
2022 · Adithya Murali, Atharva Sehgal, et al. · International Joint Conference on Artificial Intelligence · 2
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Knowledge-Centric Self-Improvement
2026 · Wang, Xuefei Julie, Yoon, Lauren Hyoseo, et al. · arXiv (Cornell University)
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Programmatic Context Augmentation for LLM-based Symbolic Regression
2026 · Liu, Hao, Yang, Xiao-Wen, et al. · arXiv (Cornell University)
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Accelerating scientific workflows with language-guided evolutionary algorithms
2026 · Sehgal, Atharva
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FormulaCode: Evaluating Agentic Optimization on Large Codebases
2026 · Sehgal, Atharva, Hou, James, et al. · arXiv (Cornell University)
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Agentic Superoptimization of Bioimaging Analysis Workflows.
2025 · Xuefei Julie Wang, Jonathan Chen, et al. · PubMed
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor
2025 · Lin, Ethan, Zhao, Linxi, et al. · arXiv (Cornell University)
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Self-Evolving Visual Concept Library using Vision-Language Critics
2025 · Atharva Sehgal, Patrick Yuan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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Neurosymbolic Grounding for Compositional World Models
2023 · Sehgal, Atharva, Grayeli, Arya, et al. · arXiv (Cornell University)
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Works count: 12
Citation count: 34
H-index: 3
I10-index: 2
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