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cs.LG2025
Path Integral Optimiser: Global Optimisation via Neural Schrödinger-Föllmer Diffusion
Max McGuinness, Eirik Fladmark, Francisco Vargas
We present an early investigation into the use of neural diffusion processes for global optimisation, focusing on Zhang et al.'s Path Integral Sampler. One can use the Boltzmann di…
cs.LG2023★ 2 cited
Exploring the Performance of Pruning Methods in Neural Networks: An Empirical Study of the Lottery Ticket Hypothesis
Eirik Fladmark, Muhammad Hamza Sajjad, Laura Brinkholm Justesen
In this paper, we explore the performance of different pruning methods in the context of the lottery ticket hypothesis. We compare the performance of L1 unstructured pruning, Fishe…