class imbalance 1generalization 1hessian spectrum 1linear neural networks 1loss landscape 1second-order optimization 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
How the Hessian-Spectrum of Neural Networks Depends on Data
Jasraj Singh, Enea Monzio Compagnoni, Antonio Orvieto
The paper analytically derives the Hessian eigenvalues for linear neural networks of any size and data distribution, showing that solution sharpness under MSE loss is tied to the l…
stat.ML2026
Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference
Jasraj Singh, Shelvia Wongso, Jeremie Houssineau +1
Variational inference (VI) is a cornerstone of modern Bayesian learning, enabling approximate inference in complex models. However, its formulation depends on expectations and dive…
cs.LG2025
Effects of Dropout on Performance in Long-range Graph Learning Tasks
Jasraj Singh, Keyue Jiang, Brooks Paige +1
Message Passing Neural Networks (MPNNs) are a class of Graph Neural Networks (GNNs) that propagate information across the graph via local neighborhoods. The scheme gives rise to tw…