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Bibliographic Details
Main Author:	Wang, Zhengguang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2401.16521
Tags:	Add Tag No Tags, Be the first to tag this record!

Towards Robust Deep Reinforcement Learning against Environmental State Perturbation
by: Wang, Chenxu, et al.
Published: (2025)

Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024)

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
by: Oh, YongKyung, et al.
Published: (2024)

Explaining Time Series via Contrastive and Locally Sparse Perturbations
by: Liu, Zichuan, et al.
Published: (2024)

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
by: Yi, Kun, et al.
Published: (2023)

Robust Time Series Causal Discovery for Agent-Based Model Validation
by: Yu, Gene, et al.
Published: (2024)

Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
by: Adler, Coen, et al.
Published: (2025)

WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
by: Islam, Md. Khairul, et al.
Published: (2024)

Graph Deep Learning for Time Series Forecasting
by: Cini, Andrea, et al.
Published: (2023)

Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)

Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
by: Kan, Ziwen, et al.
Published: (2024)

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
by: Oh, YongKyung, et al.
Published: (2025)

Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
by: Baer, Gregor, et al.
Published: (2025)

Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
by: Wang, Dongwei, et al.
Published: (2024)

Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching
by: Zhang, Jintao, et al.
Published: (2025)

The Memory Perturbation Equation: Understanding Model's Sensitivity to Data
by: Nickl, Peter, et al.
Published: (2023)

Deep Learning for Time Series Forecasting: A Survey
by: Kong, Xiangjie, et al.
Published: (2025)

Creating a Causally Grounded Rating Method for Assessing the Robustness of AI Models for Time-Series Forecasting
by: Lakkaraju, Kausik, et al.
Published: (2025)

Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models
by: Teagan, Jonathan
Published: (2025)

Set-Valued Sensitivity Analysis of Deep Neural Networks
by: Wang, Xin, et al.
Published: (2024)

Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)

How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation
by: Qian, Linglong, et al.
Published: (2024)

TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
by: Li, Chenghan, et al.
Published: (2025)

Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey
by: Habiba, Mansura, et al.
Published: (2024)

On the Relation between Sensitivity and Accuracy in In-context Learning
by: Chen, Yanda, et al.
Published: (2022)

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting
by: Wang, Fei, et al.
Published: (2025)

Computer Vision Self-supervised Learning Methods on Time Series
by: Lee, Daesoo, et al.
Published: (2021)

Deep Learning for Time Series Anomaly Detection: A Survey
by: Darban, Zahra Zamanzadeh, et al.
Published: (2022)

AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
by: Ren, Lei, et al.
Published: (2024)

Time Series Analysis for Education: Methods, Applications, and Future Directions
by: Mao, Shengzhong, et al.
Published: (2024)

CAPMix: Robust Time Series Anomaly Detection Based on Abnormal Assumptions with Dual-Space Mixup
by: Mou, Xudong, et al.
Published: (2025)

Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series
by: Schlegel, Udo, et al.
Published: (2024)

Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
by: Li, Jiaqi, et al.
Published: (2023)

Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
by: Wang, Wenxuan, et al.
Published: (2025)

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
by: Fan, Wei, et al.
Published: (2024)

Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
by: Ye, Jiexia, et al.
Published: (2024)

Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
by: Kim, HyunGi, et al.
Published: (2025)

Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
by: Onibonoje, Oluwadurotimi, et al.
Published: (2025)

Time Series Supplier Allocation via Deep Black-Litterman Model
by: Luo, Jiayuan, et al.
Published: (2024)

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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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