Cover Image

Latent Spectral Regularization for Continual Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Frascaroli, Emanuele, Benaglia, Riccardo, Boschini, Matteo, Moschella, Luca, Fiorini, Cosimo, Rodolà, Emanuele, Calderara, Simone
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
by: Menabue, Martin, et al.
Published: (2024)

Semantic Residual Prompts for Continual Learning
by: Menabue, Martin, et al.
Published: (2024)

Navigating the Latent Space Dynamics of Neural Models
by: Fumero, Marco, et al.
Published: (2025)

Latent Space Translation via Inverse Relative Projection
by: Maiorca, Valentino, et al.
Published: (2024)

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
by: Cannistraci, Irene, et al.
Published: (2023)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
by: Frascaroli, Emanuele, et al.
Published: (2024)

Intrinsic Training Signals for Federated Learning Aggregation
by: Fiorini, Cosimo, et al.
Published: (2025)

Metric Based Few-Shot Graph Classification
by: Crisostomi, Donato, et al.
Published: (2022)

Latent Space Translation via Semantic Alignment
by: Maiorca, Valentino, et al.
Published: (2023)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
by: Ricciardi, Antonio Pio, et al.
Published: (2025)

R3L: Relative Representations for Reinforcement Learning
by: Ricciardi, Antonio Pio, et al.
Published: (2024)

STAER: Temporal Aligned Rehearsal for Continual Spiking Neural Network
by: Gianferrari, Matteo, et al.
Published: (2026)

Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes
by: Benaglia, Riccardo, et al.
Published: (2024)

Two-Scale Latent Dynamics for Recurrent-Depth Transformers
by: Pappone, Francesco, et al.
Published: (2025)

DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning
by: Moussadek, Omayma, et al.
Published: (2025)

Communicating Sound Through Natural Language
by: Rossi, Emanuele, et al.
Published: (2026)

How Neural Losses Shape VAE Latents
by: Strano, Giorgio, et al.
Published: (2026)

Latent Communication in Artificial Neural Networks
by: Moschella, Luca
Published: (2024)

Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity
by: Santi, Riccardo, et al.
Published: (2025)

EuleroDec: A Complex-Valued RVQ-VAE for Efficient and Robust Audio Coding
by: Cerovaz, Luca, et al.
Published: (2026)

ResiDual Transformer Alignment with Spectral Decomposition
by: Basile, Lorenzo, et al.
Published: (2024)

Latent Functional Maps: a spectral framework for representation alignment
by: Fumero, Marco, et al.
Published: (2024)

Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data
by: Hirose, Osamu, et al.
Published: (2026)

Closed-form merging of parameter-efficient modules for Federated Continual Learning
by: Salami, Riccardo, et al.
Published: (2024)

Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
by: Rinaldi, Filippo, et al.
Published: (2025)

Federated Class-Incremental Learning with Hierarchical Generative Prototypes
by: Salami, Riccardo, et al.
Published: (2024)

Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
by: Marincione, Davide, et al.
Published: (2025)

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models
by: Postolache, Emilian, et al.
Published: (2024)

Modular Embedding Recomposition for Incremental Learning
by: Panariello, Aniello, et al.
Published: (2025)

On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions
by: Simone, Lorenzo, et al.
Published: (2024)

Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models
by: Postolache, Emilian, et al.
Published: (2024)

TOAST: Transformer Optimization using Adaptive and Simple Transformations
by: Cannistraci, Irene, et al.
Published: (2024)

Rethinking Layer-wise Model Merging through Chain of Merges
by: Buzzega, Pietro, et al.
Published: (2025)

Not All Latent Spaces Are Flat: Hyperbolic Concept Control
by: Briglia, Maria Rosaria, et al.
Published: (2026)

Graph Kernel Neural Networks
by: Cosmo, Luca, et al.
Published: (2021)

$C^2M^3$: Cycle-Consistent Multi-Model Merging
by: Crisostomi, Donato, et al.
Published: (2024)

Spectral methods for Neural Integral Equations
by: Zappala, Emanuele
Published: (2023)

Learning Continually by Spectral Regularization
by: Lewandowski, Alex, et al.
Published: (2024)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
by: Ciranni, Ruben, et al.
Published: (2024)

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
by: Mariani, Giorgio, et al.
Published: (2023)