Publications associées à Secure Coding via Gaussian Random Fields

Publications associées (6)

Non-regular Inference: Universal Inference and Discrete Profiling

Non-regular or irregular statistical problems are those that do not satisfy a set of standard regularity conditions that allow useful theoretical properties of inferential procedures to be proven. Non-regular problems are prevalent; a classical example is ...

EPFL2025

Sharper Exponential Convergence Rates for Sinkhorn's Algorithm in Continuous Settings

Alex François Christian Delalande, Lénaïc Chizat, Tomas Vaskevicius

We study the convergence rate of Sinkhorn's algorithm for solving entropy-regularized optimal transport problems when at least one of the probability measures, mu, admits a density over R-d. For a semi-concave cost function bounded by cand a regularization ...

SPRINGER HEIDELBERG2025

Large deviations in the early Universe

Timothy Cohen

Fluctuations play a critical role in cosmology. They are relevant across a range of phenomena from the dynamics of inflation to the formation of structure. In many cases, these fluctuations are coarse grained and follow a Gaussian distribution as a consequ ...

American Physical Society2023

Direct Observation of the Phase Transition in C60 Fullerene

Chengcheng Yan

In the third study, the order-disorder phase transition of single-crystal C60 is studied using time-resolved electron microscopy. Solid C60 undergoes a first-order phase transition upon heating to 260 K. This is a structural transition from the low-tempera ...

EPFL Infoscience2023

Quantum Monte Carlo simulations in the trimer basis: First-order transitions and thermal critical points in frustrated trilayer magnets

Frédéric Mila, Bruce Normand

The phase diagrams of highly frustrated quantum spin systems can exhibit first-order quantum phase transitions and thermal critical points even in the absence of any long-ranged magnetic order. However, all unbiased numerical techniques for investigating f ...

SCIPOST FOUNDATION2022

Eigenfunction Martingale Estimators for Interacting Particle Systems and Their Mean Field Limit

Andrea Zanoni

We study the problem of parameter estimation for large exchangeable interacting particle systems when a sample of discrete observations from a single particle is known. We propose a novel method based on martingale estimating functions constructed by emplo ...

Siam Publications2022