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20232026
most citedTraining-Free Neural Active Learning with Initialization-Robustness Guarantees

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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…