3 papers
cs.LG2026
Can Test-time Computation Mitigate Reproduction Bias in Neural Symbolic Regression?
Shun Sato, Issei Sato
Mathematical expressions play a central role in scientific discovery. Symbolic regression aims to automatically discover such expressions from given numerical data. Recently, Neura…
cs.CV2026
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing
Jinya Sakurai, Yuki Koyama, Issei Sato
Text-to-image (T2I) models have advanced creative content generation, yet their reliance on large uncurated datasets often reproduces societal biases. We present FairT2I, a trainin…
stat.ML2024
Top-Down Bayesian Posterior Sampling for Sum-Product Networks
Soma Yokoi, Issei Sato
Sum-product networks (SPNs) are probabilistic models characterized by exact and fast evaluation of fundamental probabilistic operations. Its superior computational tractability has…