13 citations · 13 across the 4 of their papers we have counts for
4 papers
A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing
Owen Lockwood, Jérémy Béjanin, Joost Bus +4
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…
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…
An efficient probabilistic hardware architecture for diffusion-like models
Andraž Jelinčič, 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…
Quantum Dynamical Hamiltonian Monte Carlo
Owen Lockwood, Peter Weiss, Filip Aronshtein +1
One of the open challenges in quantum computing is to find meaningful and practical methods to leverage quantum computation to accelerate classical machine learning workflows. A ub…