228 citations · 1.3k across the 48 of their papers we have counts for
6 papers · 1 filter
Redundancy and synergy in multivariate Gaussians via the Blackwell order
Artemy Kolchinsky
The goal of the partial information decomposition (PID) is to quantify the redundant and synergistic information that multiple sources provide about a target. PID has many applicat…
Oscillatory-nonnormal decomposition of dissipation in Ornstein-Uhlenbeck processes
Ryuna Nagayama, Artemy Kolchinsky, Sosuke Ito
We provide a decomposition of the steady-state entropy production rate associated with an Ornstein-Uhlenbeck process into two contributions: one associated with oscillatory behavio…
Cycle affinity and winding localize eigenvalues of Markov generators
Artemy Kolchinsky, Naruo Ohga, Sosuke Ito
The complex eigenvalues of Markov generators govern oscillatory properties of relaxation, autocorrelation, and linear response. We show that these eigenvalues are localized by none…
Wasserstein-2 gradient flows and the geometry of entropy production in classical and quantum stochastic thermodynamics
Olga Movilla Miangolarra, Ralph Sabbagh, Artemy Kolchinsky
The second law does more than set the direction of thermodynamic evolution: it endows nonequilibrium transformations with an underlying geometry. In this work, we provide a unified…
Quo vadis, stochastic thermodynamics?
Jan Korbel, Artemy Kolchinsky, Sarah A. M. Loos +4
Stochastic thermodynamics is a framework for describing non-equilibrium processes at the level of fluctuating trajectories, where the state of a system evolves as a stochastic time…
Towards Worst-Case Guarantees with Scale-Aware Interpretability
Lauren Greenspan, David Berman, Aryeh Brill +9
Neural networks organize information according to the hierarchical, multi-scale structure of natural data. Methods to interpret model internals should be similarly scale-aware, exp…