Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
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PoCoFL: POlicy-COmpliant Federated Learning
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From Mixing to Tearing: Graph Decomposition in Decentralized Optimization via Message Passing
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Performance Evaluation of Ising and QUBO Variable Encodings in Boltzmann Machine Learning
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Differential Privacy as a Perk: Federated Learning over Multiple-Access Fading Channels with a Multi-Antenna Base Station
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Closing the Train-Test Gap in World Models for Gradient-Based Planning
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Evaluation of Sampling Strategies and Physics-Informed Kolmogorov--Arnold Networks in Unbounded Domains
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ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
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Demonstration-Guided Observation Attacks on Black-Box Safe Reinforcement Learning Controllers for Robotic Systems
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Theoretical Lower Bounds on the Robustness of Deep ReLU Networks
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A Locally Penalized Cross-Estimate Federated Method with Guarantees for Constrained Personalized Learning
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Learning an Interpretable Risk Scoring System for Maximizing Decision Net Benefit
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