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Bibliographic Details
Main Authors:	Foresti, Alberto, Franzese, Giulio, Michiardi, Pietro
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.19183
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MINDE: Mutual Information Neural Diffusion Estimation
by: Franzese, Giulio, et al.
Published: (2023)

S$Ω$I: Score-based O-INFORMATION Estimation
by: Bounoua, Mustapha, et al.
Published: (2024)

RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
by: Wang, Chao, et al.
Published: (2025)

Learning to Match Unpaired Data with Minimum Entropy Coupling
by: Bounoua, Mustapha, et al.
Published: (2025)

Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference
by: Wang, Chao, et al.
Published: (2026)

Latent Abstractions in Generative Diffusion Models
by: Franzese, Giulio, et al.
Published: (2024)

Information Theoretic Text-to-Image Alignment
by: Wang, Chao, et al.
Published: (2024)

TENDE: Transfer Entropy Neural Diffusion Estimation
by: Munoz, Simon Pedro Galeano, et al.
Published: (2025)

In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs
by: Clemente, Simone, et al.
Published: (2025)

Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
by: Azorin, Raphael, et al.
Published: (2024)

Data Augmentation for Traffic Classification
by: Wang, Chao, et al.
Published: (2024)

Deep Thinking by Markov Chain of Continuous Thoughts
by: Liu, Jiayu, et al.
Published: (2025)

Markov Chain Estimation with In-Context Learning
by: Lepage, Simon, et al.
Published: (2025)

Markovletics: Methods and A Novel Application for Learning Continuous-Time Markov Chain Mixtures
by: Spaeh, Fabian, et al.
Published: (2024)

Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction
by: Li, Jingyuan, et al.
Published: (2026)

Scaling Laws for Uncertainty in Deep Learning
by: Rosso, Mattia, et al.
Published: (2025)

Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity
by: Banerjee, Imon, et al.
Published: (2022)

Information Geometry of Absorbing Markov-Chain and Discriminative Random Walks
by: Kimura, Masanari
Published: (2026)

Markov Chain Variance Estimation: A Stochastic Approximation Approach
by: Agrawal, Shubhada, et al.
Published: (2024)

Distances for Markov Chains, and Their Differentiation
by: Brugère, Tristan, et al.
Published: (2023)

SEDD: Scalable and Efficient Dataset Deduplication with GPUs
by: Son, Youngjun, et al.
Published: (2025)

Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
by: Kostic, Vladimir R., et al.
Published: (2024)

Pairwise Markov Chains for Volatility Forecasting
by: Azeraf, Elie
Published: (2024)

Long Range Propagation on Continuous-Time Dynamic Graphs
by: Gravina, Alessio, et al.
Published: (2024)

Digital Shielding for Cross-Domain Wi-Fi Signal Adaptation using Relativistic Average Generative Adversarial Network
by: Avola, Danilo, et al.
Published: (2025)

Coreset Markov Chain Monte Carlo
by: Chen, Naitong, et al.
Published: (2023)

Empirical PAC-Bayes Bounds for Markov Chains
by: Karagulyan, Vahe, et al.
Published: (2025)

ULTRA-MC: A Unified Approach to Learning Mixtures of Markov Chains via Hitting Times
by: Spaeh, Fabian, et al.
Published: (2024)

Stereographic Markov Chain Monte Carlo
by: Yang, Jun, et al.
Published: (2022)

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space
by: Migliorini, Giosue, et al.
Published: (2025)

Gaussian Invariant Markov Chain Monte Carlo
by: Titsias, Michalis K., et al.
Published: (2025)

Scalable Inference-Time Annealing with Surrogate Likelihood Estimators
by: Peñaherrera, Daniel, et al.
Published: (2026)

Scalable Deep Metric Learning on Attributed Graphs
by: Li, Xiang, et al.
Published: (2024)

A Practice in Enrollment Prediction with Markov Chain Models
by: Zhao, Yan, et al.
Published: (2024)

An Investigation of Ear-EEG Signals for a Novel Biometric Authentication System
by: Avola, Danilo, et al.
Published: (2025)

An Information-Theoretic Approach to Understanding Transformers' In-Context Learning of Variable-Order Markov Chains
by: Zhou, Ruida, et al.
Published: (2024)

Regret and Sample Complexity of Online Q-Learning via Concentration of Stochastic Approximation with Time-Inhomogeneous Markov Chains
by: Singh, Rahul, et al.
Published: (2026)

Deep Learning for Computing Convergence Rates of Markov Chains
by: Qu, Yanlin, et al.
Published: (2024)

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization
by: Fontana, Federico, et al.
Published: (2025)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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