4 papers
Thermalizing Stochastic Programs
Mirko Amico, Andraž Jelinčič, Andraž JelinÄiÄ +7
We present a set of tools for mapping general stochastic programs to thermodynamic hardware designed for energy-efficient stochastic sampling. Given a target stochastic program exp…
A Framework for Stochastic Differentiable Programming
Guillaume Verdon, Leo Tyrpak, Owen Lockwood +5
We introduce Parametrized Stochastic Circuits (PSCs), a gate-based intermediate representation for programmable stochastic dynamics in which typed local stochastic kernels with tun…
A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing
Owen Lockwood, Jérémy Béjanin, Jérémy Béjanin +6
To help address the escalating energy and latency demands of machine-learning workloads, we introduce a blueprint for an energy-efficient and fast thermodynamic computing stack tha…
An efficient probabilistic hardware architecture for diffusion-like models
Andraž JelinÄiÄ, Owen Lockwood, Akhil Garlapati +4
The proliferation of probabilistic AI has prompted proposals for specialized stochastic computers. Despite promising efficiency gains, these proposals have failed to gain traction…