🎲 Probabilistic Programming - DiToast · Scour

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries

⚡Concurrency Academic

Large-scale empirical tuning and comparison of default optimizers for variational inference

🎯Randomized Algorithms Academic

A 65 nm Multi-Modal Bayesian Inference Engine with 16.3 fJ/Sample Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening

🎯Randomized Algorithms Academic

Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging

🎯Randomized Algorithms Academic

Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents

⚖Algorithmic Game Theory Academic

Variational Proximal Policy Optimization

⚖Algorithmic Game Theory Academic

Geometry-Structured Channel Reconstruction for Conventional and Fluid Antenna Systems: Bayesian Inference and Fundamental Limits

📊Information Theory Academic

Disentanglement with Holographic Reduced Representations

🔐Cryptography Academic

From data to decisions: Bayesian modelling and global sensitivity analysis for flotation control

🎯Randomized Algorithms Academic

A Unifying Lens on Reward Uncertainty in RLHF

⚖Algorithmic Game Theory Academic

Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

📈Complexity Theory Academic

Negative and Fractional Types in the Fidelity Framework

🎯Constraint Programming Academic

Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory

📊Information Theory Academic

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