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Scalable and Robust Spatial Prediction via Multi-Resolution Ensembles of Predictive Processes
👁 52 📚 15
Graph-Informed Adversarial Modeling: Infimal Subadditivity of Interpolative Divergences
👁 234 📚 7
A Federated Many-to-One Hopfield model for associative Neural Networks
👁 253 📚 28
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
👁 20 📚 19
Minimax Generalized Cross-Entropy
👁 80 📚 6
Explainable cluster analysis: a bagging approach
👁 168 📚 47
Two-Time-Scale Learning Dynamics: A Population View of Neural Network Training
👁 478 📚 27
Uncertainty Quantification Via the Posterior Predictive Variance
👁 146 📚 22
Scalable Learning of Multivariate Distributions via Coresets
👁 199 📚 41
Regularity of Solutions to Beckmann's Parametric Optimal Transport
👁 304 📚 27
A two-step sequential approach for hyperparameter selection in finite context models
👁 442 📚 9
Model Selection and Parameter Estimation of Multi-dimensional Gaussian Mixture Model
👁 34 📚 49
Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time Analysis
👁 104 📚 12
Alternating Diffusion for Proximal Sampling with Zeroth Order Queries
👁 346 📚 0
On the role of memorization in learned priors for geophysical inverse problems
👁 136 📚 2
Near-Equivalent Q-learning Policies for Dynamic Treatment Regimes
👁 107 📚 42
Subspace Projection Methods for Fast Spectral Embeddings of Evolving Graphs
👁 287 📚 27
Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs
👁 284 📚 40
FalconBC: Flow matching for Amortized inference of Latent-CONditioned physiologic Boundary Condition...
👁 108 📚 27
Structured Latent Dynamics in Wireless CSI via Homomorphic World Models
👁 460 📚 8