12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
Conor F. Hayes, Felipe Leno Da Silva, Jiachen Yang +15
Deep Symbolic Optimization (DSO) is a novel computational framework that enables symbolic optimization for scientific discovery, particularly in applications involving the search f…
cs.CV2020★ 12 cited
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
Hirofumi Kobayashi, Ahmet Can Solak, Joshua Batson +1
We propose a general framework for solving inverse problems in the presence of noise that requires no signal prior, no noise estimate, and no clean training data. We only require t…