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Bibliographic Details
Main Authors:	Kvalheim, Matthew D., Sontag, Eduardo D.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2310.02250
Tags:	Add Tag No Tags, Be the first to tag this record!

Global linearization of asymptotically stable systems without hyperbolicity
by: Kvalheim, Matthew D., et al.
Published: (2025)

Some remarks on gradient dominance and LQR policy optimization
by: Sontag, Eduardo D.
Published: (2025)

Learning Genetic Circuit Modules with Neural Networks: Full Version
by: Wang, Jichi, et al.
Published: (2025)

Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks
by: Zhang, Haixiang, et al.
Published: (2024)

Relationships Between Necessary Conditions for Feedback Stabilizability
by: Kvalheim, Matthew D.
Published: (2023)

Stabilizability of first-order dynamics in second-order systems
by: Kvalheim, Matthew D.
Published: (2026)

Differential topology of the spaces of asymptotically stable vector fields and Lyapunov functions
by: Kvalheim, Matthew D.
Published: (2025)

Poincaré-Hopf theorem for hybrid systems
by: Kvalheim, Matthew D.
Published: (2021)

3D variational autoencoder for fingerprinting microstructure volume elements
by: White, Michael D., et al.
Published: (2025)

Why mask diffusion does not work
by: Sun, Haocheng, et al.
Published: (2025)

Multi-view autoencoders for Fake News Detection
by: Pereira, Ingryd V. S. T., et al.
Published: (2025)

Theoretical Analysis of Weak-to-Strong Generalization
by: Lang, Hunter, et al.
Published: (2024)

On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
by: de Oliveira, Arthur Castello Branco, et al.
Published: (2025)

Matching aggregate posteriors in the variational autoencoder
by: Saha, Surojit, et al.
Published: (2023)

Bilinear autoencoders find interpretable manifolds
by: Dooms, Thomas, et al.
Published: (2026)

Prediction-powered Generalization of Causal Inferences
by: Demirel, Ilker, et al.
Published: (2024)

Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point
by: Ji, Christina X, et al.
Published: (2024)

Scaling and evaluating sparse autoencoders
by: Gao, Leo, et al.
Published: (2024)

Complex variational autoencoders admit Kähler structure
by: Gracyk, Andrew
Published: (2025)

Decomposing multimodal embedding spaces with group-sparse autoencoders
by: Kaushik, Chiraag, et al.
Published: (2026)

Understanding sparse autoencoder scaling in the presence of feature manifolds
by: Michaud, Eric J., et al.
Published: (2025)

Adaptive sampling using variational autoencoder and reinforcement learning
by: Rasheed, Adil, et al.
Published: (2025)

Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
by: Choo, Davin, et al.
Published: (2024)

Uncovering Bias Mechanisms in Observational Studies
by: Demirel, Ilker, et al.
Published: (2025)

DANAE: a denoising autoencoder for underwater attitude estimation
by: Russo, Paolo, et al.
Published: (2020)

Investigating task-specific prompts and sparse autoencoders for activation monitoring
by: Tillman, Henk, et al.
Published: (2025)

Linearizability of flows by embeddings
by: Kvalheim, Matthew D., et al.
Published: (2023)

Ransomware detection using stacked autoencoder for feature selection
by: Nkongolo, Mike, et al.
Published: (2024)

Variational autoencoder-based neural network model compression
by: Cheng, Liang, et al.
Published: (2024)

Applying sparse autoencoders to unlearn knowledge in language models
by: Farrell, Eoin, et al.
Published: (2024)

An autoencoder for compressing angle-resolved photoemission spectroscopy data
by: Agustsson, Steinn Ymir, et al.
Published: (2024)

Theoretically informed selection of latent activation in autoencoder based recommender systems
by: Susman, Aviad
Published: (2024)

Variational autoencoders understand knot topology
by: Braghetto, Anna, et al.
Published: (2025)

Inverse problem regularization with hierarchical variational autoencoders
by: Prost, Jean, et al.
Published: (2023)

Variational Bayes image restoration with compressive autoencoders
by: Biquard, Maud, et al.
Published: (2023)

Discretization of continuous input spaces in the hippocampal autoencoder
by: Amil, Adrian F., et al.
Published: (2024)

Pairwise matrices for sparse autoencoders: single-feature inspection mislabels causal axes
by: Riegler, Michael A., et al.
Published: (2026)

A tutorial on multi-view autoencoders using the multi-view-AE library
by: Aguila, Ana Lawry, et al.
Published: (2024)

Insights into a radiology-specialised multimodal large language model with sparse autoencoders
by: Bouzid, Kenza, et al.
Published: (2025)

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// 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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