SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines

Documenti analoghi

• Deep Unfolding: Recent Developments, Theory, and Design Guidelines
  di: Shlezinger, Nir, et al.
  Pubblicazione: (2025)
• Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation
  di: Nuri, Itai, et al.
  Pubblicazione: (2024)
• Bayesian Signal Component Decomposition via Diffusion-within-Gibbs Sampling
  di: Zhang, Yi, et al.
  Pubblicazione: (2026)
• Semi-Supervised Model-Free Bayesian State Estimation from Compressed Measurements
  di: Ghosh, Anubhab, et al.
  Pubblicazione: (2024)
• Unrolled denoising networks provably learn optimal Bayesian inference
  di: Karan, Aayush, et al.
  Pubblicazione: (2024)