Noise Induced Stabilization in Stochastic Chemical Reaction Network in a Bulk

Lucie Laurence and Andrea Agazzi

Stability of Reaction Networks with Randomly Switching Parameters - Part 1

Daniele Cappelletti, Aidan Howells and Chuang Xu

The Wasserstein Geometry of Random Measures

Alessandro Pinzi and Giuseppe Savaré

Two-Sample Test for Laws of Random Probabilities via Optimal Transport

George Kanchaveli, Marta Catalano and Hugo Lavenant

A Semiconcavity Approach to Stability of Entropic Plans and Exponential Convergence of Sinkhorn’s Algorithm - Part 1

Alberto Chiarini, Giovanni Conforti, Giacomo Greco and Luca Tamanini

Well-Posedness of a Stochastic Reacting Particle System with Non-Local and Lennard–Jones Interactions

Giulia Rui, Daniela Morale and Stefania Ugolini

Competing Growth on the Configuration Model via First-Passage Percolation and Long-Range Jumps

Matteo Sfragara and Bernardo D'Auria

On the Stability Region of Scheduling in a Random Environment

Nahuel Soprano-Loto, Urtzi Ayesta and Ina Maria Verloop

Optimal Control of McKean-Vlasov Systems Under Partial Observation and Hidden Markov Switching

Marco Fuhrman, Huyên Pham and Silvia Rudà

Likelihood-Based Priors: a Kernel Mixture Approach

Luca Martino

Averaging Dynamics for a Two-Scale Navier- Stokes System Driven by Fractional Brownian Motion

Francesco Triggiano and Eliseo Luongo

A Conformal Prediction Approach to Predict Populations of Networks

Matteo Fontana, Anna Calissano, Simone Vantini and Gianluca Zeni

Fractional Cointegration of Geometric Functionals

Anna Vidotto, Alessia Caponera and Domenico Marinucci

Stochastic Interpretation of Time-Dependent Bose-Einstein Condensation

Luigi Borasi, Francesco Carlo De Vecchi and Stefania Ugolini

Chapter 4: the Nonsmooth Kraichnan Model

Mario Maurelli, Marco Bagnara, Michele Coghi, Lucio Galeati and Francesco Grotto

Chapter 2: Transport Equation and Kolmogorov Equations

Enrico Priola

Exchangeable Random Permutations with an Application to Bayesian Graph Matching

Francesco Gaffi, Nathaniel Josephs and Lizhen Lin

Stochastic Solutions to Abstract Telegraph-Type Equations Involving Fractional Dynamics

Alessandro De Gregorio

Hydrodynamic Limits of Exploration Processes on Large Random Graphs

Pascal Moyal, Mohamed Habib Aliou Diallo Aoudi and Vincent Robin

Rearranged Stochastic Heat Equation with an Entropy Gradient Structure

Rhoss Likibi Pellat and Francois Delarue

Chapter 1: Ergodicity and Markov Selections

Marco Romito

Strong Feller Property and Irreducibility for Stochastic PDEs with Degenerate Multiplicative Noise

Luca Scarpa and Margherita Zanella

Minimal Shapes on the Hyperbolic Lattices and the Emergence of Metastability

Vanessa Jacquier

Infection Models on Dense Dynamic Random Graphs

Simone Baldassarri

The Minority Dynamics

George Giakkoupis, Dimitrios Los, Thomas Sauerwald and Isabella Ziccardi

Extended Feature Allocation Models

Lorenzo Ghilotti, Mario Beraha and Federico Camerlenghi

Stochastic Diffuse Interface Models Driven by Conservative Noise

Andrea Di Primio, Maurizio Grasselli and Luca Scarpa

Spectral and Geometric Phase Transitions in Deep Neural Networks

Simmaco Di Lillo, Domenico Marinucci, Michele Salvi and Stefano Vigogna

Node2vec Random Walks: Regular Graphs and Recurrence

Lars Schroeder, Clara Stegehuis, Gianmarco Bet and Luca Avena

On the Markov Modulated Poisson Process and Its Application in Shock Models

Nicola Giordano, Barbara Martinucci and Paola Paraggio

Efficient Computation and Estimation of Generalized Cumulants via Complementary Set Partitions

Elvira Di Nardo

Statistical inference for SDEs using Signatures

Nikolas Tapia

New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID

Vito Santarcangelo, Angelo Romano, Alessandro D'Alcantara, Sergio Vitullo, Gioele Gargano, Emilio Massa, Davide Scintu, Teresa Maltese, Michele Di Lecce, Giuseppe Oddo, Mario Azzone, Rocco Chiechi and Giovanni Azzone

Existence, Uniqueness and Asymptotic Stability of Invariant Measures for the Stochastic Allen–Cahn–Navier–Stokes System with Singular Potential

Margherita Zanella, Andrea Di Primio and Luca Scarpa

Refined Uniqueness Results for 2D Euler and gSQG with Rough Kraichnan Noise

Marco Bagnara and Lucio Galeati

Exponential Integrability of the Solution and the Invariant Measure to the Stochastic Burgers Equation

Josef Janák

Anomalous Phenomena in the Kraichnan Model of Turbulence

Lucio Galeati, Francesco Grotto, Mario Maurelli, Theodore D. Drivas and Umberto Pappalettera

Association in Spatial Queueing-Filtering Networks

Emanuele Mengoli and Nahuel Soprano-Loto

McKean–Vlasov Dynamics with Killing and Memory: Probabilistic Representations of a McKean-Type PDE

Leonardo Tarquini, Daniela Morale and Stefania Ugolini

Capturing Growth and Shock Dynamics through Lognormal Diffusions with Binomial Catastrophes

Antonio Di Crescenzo, Sabina Musto, Paola Paraggio and Francisco De Asìs Torres Ruiz

Analysis of Systems Through the Regression Importance Signature

Antonio Di Crescenzo, Giulia Pisano and Alfonso Suárez-Llorens

Hard Wall Repulsion for the Discrete Gaussian Free Field in Random Environment in Supercritical Dimension

Emanuele Pasqui, Alberto Chiarini and Alessandra Cipriani

Target Hitting Counting Process in Networks and Applications to Evanescent Random Walks

Thomas Michelitsch and Alejandro P. Riascos

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows

Clément Bonet

Mixing Trichotomy for Random Walks on Directed Stochastic Block Models

Alessandra Bianchi, Giacomo Passuello and Matteo Quattropani

Doob and Bernstein–Von Mises Theorems in Predictive Inference

Sandra Fortini, Sonia Petrone, Marco Battiston and Lorenzo Cappello

Zero-Noise Selection and Large Deviations in $L^\Infty_t L^P_x$ for the Stochastic Transport Equation Beyond DiPerna-Lions

Umberto Pappalettera, Gianluca Crippa and Eliseo Luongo

Fluctuations of the Simple Exclusion Process on Point Processes

Alberto Chiarini and Alessandra Faggionato

Hypercontractivity Type Property for Generalized Mehler Semigroups

Simone Ferrari

Integrated Expectile-Based Measures of Inequality

Marco Tarsia and Ignacio Cascos

Threshold-Driven Streaming Graph: Expansion and Rumor Spreading

Flora Angileri, Andrea Clementi, Emanuele Natale, Michele Salvi and Isabella Ziccardi

Branching Random Walks with Ageing

Daniela Bertacchi, Elena Montanaro and Fabio Zucca

Directed Polymer in Spatially Correlated Environment

Clément Cosco, Francesca Cottini and Anna Donadini

The infimal convolution structure of the Hellinger-Kantorovich distance

Nicolò De Ponti, Giacomo Enrico Sodini and Luca Tamanini

Non-Universal Fluctuations for Functionals of Random Neural Networks

Leonardo Maini

Massive Particle Systems, Wasserstein Brownian Motions, and the Dean--Kawasaki SPDE

Lorenzo Dello Schiavo

Martingale Problems with Distributional Drift via: Weak and Strong Convergence of Heat-Regularised Euler Schemes

Matteo Cagnotti and Elena Issoglio

Approximate 2-Hop Neighborhoods on Incremental Graphs: an Efficient Lazy Approach

Luca Becchetti, Andrea Clementi, Luciano Gualà, Luca Pepè Sciarria, Alessandro Straziota and Matteo Stromieri

Distribution-Free Outlier Detection

Aldo Solari, Chiara Gaia Magnani and Matteo Sesia

Hookean Dumbbell Model for Polymers, Stretching Noise and Turbulence

Yassine Tahraoui

Optimal Resource Extraction with a Random Threshold

Mattia Allemandri, Tiziano De Angelis and Alessandro Milazzo

A Non-Local Singular Non-Linear Fokker-Planck: Probabilistic Representation and Analytical Properties

Luca Bondi, Elena Issoglio and Francesco Russo

Solidification Estimates on Percolation Clusters

Zhizhou Liu, Alberto Chiarini and Maximilian Nitzschner

Conditional Coverage in Conformal Prediction: Tradeoffs and Insights

Sacha Braun, Berta Eugene, Holzmuller David, Francis Bach and Michael I. Jordan

Robust Quasi-Convex and Cash-Subadditive Risk Measures: Theory, Duality, and Applications

Francesca Centrone, Asmerilda Hitaj, Elisa Mastrogiacomo and Emanuela Rosazza Gianin

Learning from Surrogate Data: Weak-to-Strong Generalization Through the Lens of High-Dimensional Regression

Marco Mondelli

Flow Equation Approach to Stochastic Quantisation

Paolo Rinaldi, Pawel Duch and Massimiliano Gubinelli

Bismut-Elworthy Type Formulae for BSDEs with Degenerate Noise

Federica Masiero and Davide Addona

Quantitative Tensor Programs

Eloy Mosig, Dario Trevisan and Andrea Agazzi

Quantitative Convergence of Trained Quantum Neural Networks to a Gaussian Process

Anderson Melchor Hernandez, Filippo Girardi, Davide Pastorello and Giacomo De Palma

Finite Vs Infinite-Mean Heavy-Tailed Fitness: Geometry and Connectivity in Inhomogeneous Random Graphs

Elena Matteini, Luisa Andreis, Luca Avena and Rajat Subhra Hazra

Global Optimization via Softmin Energy Minimization

Andrea Agazzi, Marco Romito, Samuele Saviozzi and Vittorio Carlei

Anomalous Regularization and Dissipation for 2D Euler Equations with Rough Kraichnan Noise

Eliseo Luongo, Lucio Galeati and Umberto Pappalettera

A Fractional Hawkes Process

Enrico Scalas

Reinsurance Games Through Quantile-Constrained Choquet-Wasserstein Approximations

Andrea Cinfrignini, Silvia Lorenzini, Davide Petturiti and Barbara Vantaggi

Sticky Vertices with Energy Accumulation

Mirko D'Ovidio

Non-Local Dynamic Boundary Conditions for Sticky Brownian Motions on Smooth Domains

Mirko D'Ovidio

Stability of Reaction Networks with Randomly Switching Parameters - Part 2

Daniele Cappelletti and Aidan Howells

Generalizations of Elastic Brownian Motion

Fausto Colantoni

Mean-Field Games in Hilbert Spaces with Degenerate Diffusion: a Viscosity Solution Approach

Andrzej Swiech and Lukas Wessels

Maintaining K-MinHash Signatures over Fully-Dynamic Data Streams with Recovery

Andrea Clementi, Luciano Gualà, Luca Pepè Sciarria and Alessandro Straziota

Large Field Problem in Coercive Singular PDEs

Ilya Chevyrev and Massimiliano Gubinelli

Stationary Mean Field Games on Networks with Sticky Transition Conditions

Fabio Camilli

Optimizing Fuzzy Partitions for Visual Sensors

Andrea Capotorti and Marco Baioletti

Poisson Hail on a Wireless Ground

François Baccelli, Ke Feng and Sergey Foss

Relative Performance Concerns in Financial Markets Under Recursive Intertemporal Preferences

Frank Riedel, Jodi Dianetti and Lorenzo Stanca

Random Flights and Anomalous Diffusion: a Non-Markovian Take on Lorentz Processes

Lorenzo Facciaroni, Costantino Ricciuti, Enrico Scalas and Bruno Toaldo

Quantitative Gaussian Approximations and High-Order Corrections for Wide Neural Networks

Lucia Celli

Self-Normalization of Sums of Dependent Random Variables

Thomas Mikosch

Linearization of McKean SDEs with Application to Parameter Estimation

Andrea Zanoni and Grigorios A. Pavliotis

On the Stochastic Sine-Gordon Model from the Viewpoint of Quantum Field Theory

Claudio Dappiaggi, Alberto Bonicelli, Beatrice Costeri and Paolo Rinaldi

Master Equations for Continuous-Time Random Walks with Stochastic Resetting

Gianni Pagnini and Fausto Colantoni

Stochastic Ordering Tools for Reaction Network Models

Daniele Cappelletti, Giulio Cuniberti and Paola Siri

Can One Hear the Shape of a Random Matrix?

Elia Bisi, Fabio Deelan Cunden, Ivailo Hartarsky and Stephan Wagner

ZOBA: an Efficient Stocastic Zeroth-Order Bilevel Optimization

Marco Rando and Samuel Vaiter