3 papers
cs.LG2026
Soft Quantization: Model Compression Via Weight Coupling
Daniel T. Bernstein, Luca Di Carlo, David Schwab
We show that introducing short-range attractive couplings between the weights of a neural network during training provides a novel avenue for model quantization. These couplings ra…
cs.LG2025
Entropic Confinement and Mode Connectivity in Overparameterized Neural Networks
Luca Di Carlo, Chase Goddard, David J. Schwab
Modern neural networks exhibit a striking property: basins of attraction in the loss landscape are often connected by low-loss paths, yet optimization dynamics generally remain con…
physics.bio-ph2024
Maximum entropy models for patterns of gene expression
Camilla Sarra, Leopoldo Sarra, Luca Di Carlo +4
New experimental methods make it possible to measure the expression levels of many genes, simultaneously, in snapshots from thousands or even millions of individual cells. Current…