:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Krylov, Andrey, Penkin, Maksim
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Functional Analysis I.2.6
Accès en ligne:	https://arxiv.org/abs/2602.03290
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FunKAN: Functional Kolmogorov-Arnold Network for Medical Image Enhancement and Segmentation
par: Penkin, Maksim, et autres
Publié: (2025)

Schauder Bases for $C[0, 1]$ Using ReLU, Softplus and Two Sigmoidal Functions
par: Ganesh, Anand, et autres
Publié: (2025)

Margin in Abstract Spaces
par: Ashlagi, Yair, et autres
Publié: (2026)

Convergence of Distributionally Robust Q-Learning with Linear Function Approximation
par: Mandal, Saptarshi, et autres
Publié: (2025)

Hierarchical Universal Value Function Approximators
par: Arora, Rushiv
Publié: (2024)

Score-based Diffusion Models in Function Space
par: Lim, Jae Hyun, et autres
Publié: (2023)

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
par: Kraus, Maurice, et autres
Publié: (2024)

Noncompact uniform universal approximation
par: van Nuland, Teun D. H.
Publié: (2023)

Fusing Rewards and Preferences in Reinforcement Learning
par: Khorasani, Sadegh, et autres
Publié: (2025)

Measuring In-Context Computation Complexity via Hidden State Prediction
par: Herrmann, Vincent, et autres
Publié: (2025)

2Mamba2Furious: Linear in Complexity, Competitive in Accuracy
par: Mongaras, Gabriel, et autres
Publié: (2026)

Low-Rank Adapters Initialization via Gradient Surgery for Continual Learning
par: Pasquali, Joana, et autres
Publié: (2026)

Towards Scalable and Stable Parallelization of Nonlinear RNNs
par: Gonzalez, Xavier, et autres
Publié: (2024)

ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
par: Yong, Shim Soon
Publié: (2025)

Composing Linear Layers from Irreducibles
par: Pence, Travis, et autres
Publié: (2025)

Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
par: Ke, Naichang, et autres
Publié: (2025)

Exponential Approximation Rates and Parameter Efficiency of Learnable Bernstein Activations
par: Albool, Ibrahim, et autres
Publié: (2026)

Measuring IIA Violations in Similarity Choices with Bayesian Models
par: Corrêa, Hugo Sales, et autres
Publié: (2025)

Data-Incremental Continual Offline Reinforcement Learning
par: Gai, Sibo, et autres
Publié: (2024)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
par: Hedar, Abdel-Rahman, et autres
Publié: (2024)

Multiple Token Divergence: Measuring and Steering In-Context Computation Density
par: Herrmann, Vincent, et autres
Publié: (2025)

How to Boost Any Loss Function
par: Nock, Richard, et autres
Publié: (2024)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
par: Fadli, Samih
Publié: (2025)

FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
par: Gorrim, Mohamed El
Publié: (2025)

OER: Offline Experience Replay for Continual Offline Reinforcement Learning
par: Gai, Sibo, et autres
Publié: (2023)

BOND: License to Train with Black-Box Functions
par: Clark, Andrew, et autres
Publié: (2025)

Deep Networks are Reproducing Kernel Chains
par: Heeringa, Tjeerd Jan, et autres
Publié: (2025)

Supervised Learning of Random Neural Architectures Structured by Latent Random Fields on Compact Boundaryless Multiply-Connected Manifolds
par: Soize, Christian
Publié: (2025)

Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis
par: Suetake, Yamato, et autres
Publié: (2026)

Spectral Compact Training: Pre-Training Large Language Models via Permanent Truncated SVD and Stiefel QR Retraction
par: Kohlberger, Björn Roman
Publié: (2026)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
par: Yousaf, Iqra
Publié: (2024)

Mathematical analysis of the gradients in deep learning
par: Dereich, Steffen, et autres
Publié: (2025)

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning
par: Mi, Zhendong, et autres
Publié: (2025)

Almost Equivariance via Lie Algebra Convolutions
par: McNeela, Daniel
Publié: (2023)

Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
par: Nicolau, Marcio, et autres
Publié: (2020)

Faster Predictive Coding Networks via Better Initialization
par: Pinchetti, Luca, et autres
Publié: (2026)

Inference-Time Machine Unlearning via Gated Activation Redirection
par: Turani, Vinícius Conte, et autres
Publié: (2026)

Explainable Graph Representation Learning via Graph Pattern Analysis
par: Wang, Xudong, et autres
Publié: (2025)

Approximate Domain Unlearning for Vision-Language Models
par: Kawamura, Kodai, et autres
Publié: (2025)

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
par: Römer, Ralf, et autres
Publié: (2026)