Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation
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Computations of the slice genus and the unknotting number of links via machine learning
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CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound
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RoBART: Bayesian Additive Regression Trees with Tree-Specific Rotations
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On the Cyclic Assumption of the Cow-Path Search Algorithm
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Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
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Neural Sampling with Reweighted Normalizing Flows via the Wasserstein--Fisher--Rao JKO Scheme
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Energy-Efficient Gait Adaptation via Hierarchical Reinforcement Learning for Quadrupedal Locomotion Across Diverse Terrains
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Estimating Uncoded Crash Factors with Tabular Foundation and System One Models: Kumo Tabular and Jev
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Data Reuse in Non-Stationary Learning
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Dataset Pruning from First Principles: A Label-Free Linear Programming Approach
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Measurement-Efficient Differentiable Quantum Architecture Search for Combinatorial Optimization
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