:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Collier, Caylum, Guha, Krishnendu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2507.02872
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Component Based Quantum Machine Learning Explainability
di: White, Barra, et al.
Pubblicazione: (2025)

A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids
di: Yuan, Xun, et al.
Pubblicazione: (2023)

Evaluating the Sensitivity of BiLSTM Forecasting Models to Sequence Length and Input Noise
di: Albelali, Salma, et al.
Pubblicazione: (2025)

Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids
di: Olowookere, AbdulQoyum A., et al.
Pubblicazione: (2026)

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models
di: Nguyen, Duong, et al.
Pubblicazione: (2026)

Yet Unnoticed in LSTM: Binary Tree Based Input Reordering, Weight Regularization, and Gate Nonlinearization
di: Moattari, Mojtaba
Pubblicazione: (2025)

Aggressive Compression Enables LLM Weight Theft
di: Brown, Davis, et al.
Pubblicazione: (2026)

packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
di: Agarwal, Rohit, et al.
Pubblicazione: (2024)

Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data
di: Dinh, Phai Vu, et al.
Pubblicazione: (2025)

Adaptive Online Learning with LSTM Networks for Energy Price Prediction
di: Salihoglu, Salih, et al.
Pubblicazione: (2025)

Cartridges: Lightweight and general-purpose long context representations via self-study
di: Eyuboglu, Sabri, et al.
Pubblicazione: (2025)

Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
di: Hu, Tiancheng, et al.
Pubblicazione: (2025)

Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
di: Wu, Shunyu, et al.
Pubblicazione: (2025)

Forecasting Energy Availability in Local Energy Communities via LSTM Federated Learning
di: Turazza, Fabio, et al.
Pubblicazione: (2026)

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
di: Bashar, Md Abul, et al.
Pubblicazione: (2023)

Evaluating LLM-Based Process Explanations under Progressive Behavioral-Input Reduction
di: van Oerle, P., et al.
Pubblicazione: (2025)

On the Diminishing Returns of Width for Continual Learning
di: Guha, Etash, et al.
Pubblicazione: (2024)

xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection
di: Faber, Kamil, et al.
Pubblicazione: (2025)

Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
di: Yen, Wei-hsiang, et al.
Pubblicazione: (2025)

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
di: Kang, Lei, et al.
Pubblicazione: (2025)

Fast and Lightweight Backdoor Detection via Head Random Probing
di: Yu, Yinbo, et al.
Pubblicazione: (2026)

ALCo-FM: Adaptive Long-Context Foundation Model for Accident Prediction
di: Neogi, Pinaki Prasad Guha, et al.
Pubblicazione: (2025)

An EnKF-LSTM Assimilation Algorithm for Crop Growth Model
di: Zhou, Siqi, et al.
Pubblicazione: (2024)

Single-pass Detection of Jailbreaking Input in Large Language Models
di: Candogan, Leyla Naz, et al.
Pubblicazione: (2025)

Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
di: Ali, Khalid, et al.
Pubblicazione: (2025)

A Compact LSTM-SVM Fusion Model for Long-Duration Cardiovascular Diseases Detection
di: Wu, Siyang
Pubblicazione: (2023)

Hybrid SARIMA LSTM Model for Local Weather Forecasting: A Residual Learning Approach for Data Driven Meteorological Prediction
di: Rajeev, Shreyas, et al.
Pubblicazione: (2026)

Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model
di: Maheshwari, Saket, et al.
Pubblicazione: (2024)

Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models
di: Vaz, Pedro J., et al.
Pubblicazione: (2024)

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
di: Song, Siqing, et al.
Pubblicazione: (2026)

An Attention-Augmented VAE-BiLSTM Framework for Anomaly Detection in 12-Lead ECG Signals
di: Basora, Marc Garreta, et al.
Pubblicazione: (2025)

A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
di: Shaeri, Pouya, et al.
Pubblicazione: (2024)

Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
di: Zhang, Tianya
Pubblicazione: (2022)

Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck
di: Zhang, Meiru, et al.
Pubblicazione: (2026)

Residual GRU+MHSA: A Lightweight Hybrid Recurrent Attention Model for Cardiovascular Disease Detection
di: Dash, Tejaswani, et al.
Pubblicazione: (2025)

Hybrid LSTM-Transformer Models for Profiling Highway-Railway Grade Crossings
di: Chatterjee, Kaustav, et al.
Pubblicazione: (2025)

Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
di: Joy, Usman Gani, et al.
Pubblicazione: (2025)

Lightweight Edge Learning via Dataset Pruning
di: Ale, Laha, et al.
Pubblicazione: (2026)

QL-LSTM: A Parameter-Efficient LSTM for Stable Long-Sequence Modeling
di: Nti, Isaac Kofi
Pubblicazione: (2025)

SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection
di: Chaudhuri, Jayeeta, et al.
Pubblicazione: (2024)