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cs.LG2025
Schemato -- An LLM for Netlist-to-Schematic Conversion
Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman +7
Machine learning models are advancing circuit design, particularly in analog circuits. They typically generate netlists that lack human interpretability. This is a problem as human…
cs.LG2025
Global-Order GFlowNets
LluÃs Pastor-Pérez, Javier Alonso-Garcia, Lukas Mauch
Order-Preserving (OP) GFlowNets have demonstrated remarkable success in tackling complex multi-objective (MOO) black-box optimization problems using stochastic optimization techniq…
cs.LG2024
Order-Preserving GFlowNets
Yihang Chen, Lukas Mauch
Generative Flow Networks (GFlowNets) have been introduced as a method to sample a diverse set of candidates with probabilities proportional to a given reward. However, GFlowNets ca…