3 papers
cs.LG2026
Spectral Distillation: From Nonlinear Dynamics to Linear State-Space Models
Liane Galanti, Devan Shah, Shlomo Fortgang +1
Can nonlinear dynamical systems be learned through a compact linear state-space representation, without directly solving a non-convex system-identification problem? We give a prova…
cs.LG2026
SpectraLDS: Provable Distillation for Linear Dynamical Systems
Devan Shah, Shlomo Fortgang, Sofiia Druchyna +1
We present the first provable method for identifying symmetric linear dynamical systems (LDS) with accuracy guarantees that are independent of the systems' state dimension or effec…
cs.LG2026
UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs
Devan Shah, Owen Yang, Daniel Yang +2
Reinforcement Learning with Verifiable Rewards (RLVR) has improved the reasoning abilities of large language models (LLMs) on mathematics and programming tasks, but standard approa…