37 citations · 55 across the 7 of their papers we have counts for
3 papers · 1 filter
Neural Topological Ordering for Computation Graphs
Mukul Gagrani, Corrado Rainone, Yang Yang +7
Recent works on machine learning for combinatorial optimization have shown that learning based approaches can outperform heuristic methods in terms of speed and performance. In thi…
Neural Simulated Annealing
Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan
Simulated annealing (SA) is a stochastic global optimisation technique applicable to a wide range of discrete and continuous variable problems. Despite its simplicity, the developm…
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows
Pim de Haan, Corrado Rainone, Miranda C. N. Cheng +1
We propose a continuous normalizing flow for sampling from the high-dimensional probability distributions of Quantum Field Theories in Physics. In contrast to the deep architecture…