Scaling Laws for Uncertainty in Deep Learning
Paper • 2506.09648 • Published
Franzese
GiulioFranzese
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authored a paper 1 day ago
Scaling Laws for Uncertainty in Deep Learning authored a paper 1 day ago
S$Ω$I: Score-based O-INFORMATION Estimation authored a paper 1 day ago
Revisiting the Effects of Stochasticity for Hamiltonian SamplersOrganizations
authored 12
papers 1 day ago
S$Ω$I: Score-based O-INFORMATION Estimation
Paper • 2402.05667 • Published
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Paper • 2106.16200 • Published
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Paper • 2206.05173 • Published
Continuous-Time Functional Diffusion Processes
Paper • 2303.00800 • Published • 3
Multi-modal Latent Diffusion
Paper • 2306.04445 • Published
MINDE: Mutual Information Neural Diffusion Estimation
Paper • 2310.09031 • Published • 1
Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation
Paper • 2607.03487 • Published
Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference
Paper • 2604.20775 • Published
TENDE: Transfer Entropy Neural Diffusion Estimation
Paper • 2510.14096 • Published
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Paper • 2502.19183 • Published
Learning to Match Unpaired Data with Minimum Entropy Coupling
Paper • 2503.08501 • Published
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