2 papers
cs.LG2025
Nonlocal Monte Carlo via Reinforcement Learning
Dmitrii Dobrynin, Masoud Mohseni, John Paul Strachan
Optimizing or sampling complex cost functions of combinatorial optimization problems is a longstanding challenge across disciplines and applications. When employing family of conve…
cs.ET2025
Solving Boolean satisfiability problems with resistive content addressable memories
Giacomo Pedretti, Fabian Böhm, Tinish Bhattacharya +15
Solving optimization problems is a highly demanding workload requiring high-performance computing systems. Optimization solvers are usually difficult to parallelize in conventional…