Cover Image

CLeAN: Continual Learning Adaptive Normalization in Dynamic Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Marasco, Isabella, Evangelista, Davide, Piccolomini, Elena Loli, Colajanni, Michele
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Guess acceleration for explainable image reconstruction in sparse-view CT
by: Piccolomini, Elena Loli, et al.
Published: (2024)

A Diffusion-Based Generative Prior Approach to Sparse-view Computed Tomography
by: Evangelista, Davide, et al.
Published: (2026)

Frugality in second-order optimization: floating-point approximations for Newton's method
by: Carrino, Giuseppe, et al.
Published: (2025)

Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging
by: Morotti, Elena, et al.
Published: (2024)

To be or not to be stable, that is the question: understanding neural networks for inverse problems
by: Evangelista, Davide, et al.
Published: (2022)

Continuous-Time Analysis of Adaptive Optimization and Normalization
by: Gould, Rhys, et al.
Published: (2024)

Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments
by: Chen, Xianda, et al.
Published: (2024)

Self-generated Replay Memories for Continual Neural Machine Translation
by: Resta, Michele, et al.
Published: (2024)

Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments
by: Khanda, Rajat, et al.
Published: (2026)

Self-Normalized Resets for Plasticity in Continual Learning
by: Farias, Vivek F., et al.
Published: (2024)

Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
by: Verma, Abhishek, et al.
Published: (2025)

Normality-Guided Distributional Reinforcement Learning for Continuous Control
by: Byun, Ju-Seung, et al.
Published: (2022)

Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging
by: Morotti, Elena, et al.
Published: (2025)

Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling
by: Merizzi, Fabio, et al.
Published: (2025)

Personalized Observation Normalization for Federated Reinforcement Learning in Simulation Environments with Heterogeneity
by: Pang, Yiran, et al.
Published: (2026)

CALE: Continuous Arcade Learning Environment
by: Farebrother, Jesse, et al.
Published: (2024)

Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AI
by: Laurelli, Michele
Published: (2024)

Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces
by: Pan, Chaofan, et al.
Published: (2025)

Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration
by: Evangelista, Davide, et al.
Published: (2026)

On the Convergence of Continual Learning with Adaptive Methods
by: Han, Seungyub, et al.
Published: (2024)

ANAct: Adaptive Normalization for Activation Functions
by: Peiwen, Yuan, et al.
Published: (2022)

ContinualFlow: Learning and Unlearning with Neural Flow Matching
by: Simone, Lorenzo, et al.
Published: (2025)

Calibration of Continual Learning Models
by: Li, Lanpei, et al.
Published: (2024)

ED2: Environment Dynamics Decomposition World Models for Continuous Control
by: Hao, Jianye, et al.
Published: (2021)

HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
by: Delfosse, Quentin, et al.
Published: (2024)

Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
by: Poštuvan, Tim, et al.
Published: (2024)

GRANOLA: Adaptive Normalization for Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

ARDNS-FN-Quantum: A Quantum-Enhanced Reinforcement Learning Framework with Cognitive-Inspired Adaptive Exploration for Dynamic Environments
by: de Sousa, Umberto Gonçalves
Published: (2025)

Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments
by: Gandhi, Atith, et al.
Published: (2024)

Puppet-CNN: Continuous Parameter Dynamics for Input-Adaptive Convolutional Networks
by: Xing, Yucheng, et al.
Published: (2024)

Preserving Plasticity in Continual Learning with Adaptive Linearity Injection
by: Rohani, Seyed Roozbeh Razavi, et al.
Published: (2025)

Adaptive Variance-Penalized Continual Learning with Fisher Regularization
by: Sarkar, Krisanu
Published: (2025)

Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization
by: Mendoza, Rafael, et al.
Published: (2024)

On the Weight Dynamics of Deep Normalized Networks
by: Mehmeti-Göpel, Christian H. X. Ali, et al.
Published: (2023)

Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding
by: Bethell, Daniel, et al.
Published: (2024)

Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments
by: Kanneganti, Deepak, et al.
Published: (2025)

Explorative Imitation Learning: A Path Signature Approach for Continuous Environments
by: Gavenski, Nathan, et al.
Published: (2024)

Evaluating Adversarial Attacks on Federated Learning for Temperature Forecasting
by: Chichifoi, Karina, et al.
Published: (2025)

Continual Task Learning through Adaptive Policy Self-Composition
by: Hu, Shengchao, et al.
Published: (2024)

Adaptive Variational Continual Learning via Task-Heuristic Modelling
by: Yang, Fan
Published: (2024)