Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Back to papers
2025
ICML
ICML 2025
DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning
Authors
Aaditya Naik
,
Jason Liu
,
Claire Wang
,
Amish Sethi
,
Saikat Dutta
,
Mayur Naik
,
Eric Wong
Download PDF
Related papers
Scaling Sparse Feature Circuits For Studying In-Context Learning
2025
Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems
2025
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
2025
Batch List-Decodable Linear Regression via Higher Moments
2025
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
2025