3 papers
cs.LG2026
Stagewise Reinforcement Learning and the Geometry of the Regret Landscape
Chris Elliott, Einar Urdshals, David Quarel +2
Singular learning theory characterizes Bayesian learning as an evolving tradeoff between accuracy and complexity, with transitions between qualitatively different solutions as samp…
cs.LG2025
SCALAR: Benchmarking SAE Interaction Sparsity in Toy LLMs
Sean P. Fillingham, Andrew Gordon, Peter Lai +3
Mechanistic interpretability aims to decompose neural networks into interpretable features and map their connecting circuits. The standard approach trains sparse autoencoders (SAEs…
math.HO2017
On a numerical upper bound for the extended Goldbach conjecture
David Quarel
The Goldbach conjecture states that every even number can be decomposed as the sum of two primes. Let denote the number of such prime decompositions for an even . It is k…