AI RESEARCH
Controlled Langevin Dynamics for Sampling of Feedforward Neural Networks Trained with Minibatches
arXiv CS.LG
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ArXi:2603.15367v1 Announce Type: cross Sampling the parameter space of artificial neural networks according to a Boltzmann distribution provides insight into the geometry of low-loss solutions and offers an alternative to conventional loss minimization for