:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Talhi, Mouad, Wolf, Arne, Monod, Anthea
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2602.05950
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Parameter-Efficient Transformer Embeddings
par: Ndubuaku, Henry, et autres
Publié: (2025)

Metric Graph Kernels via the Tropical Torelli Map
par: Cao, Yueqi, et autres
Publié: (2025)

Approximating Persistent Homology for Large Datasets
par: Cao, Yueqi, et autres
Publié: (2022)

Feature Starvation as Geometric Instability in Sparse Autoencoders
par: Chaudhry, Faris, et autres
Publié: (2026)

Trajectory-Restricted Optimization Conditions and Geometry-Aware Linear Convergence
par: Chaudhry, Faris, et autres
Publié: (2026)

Fast Topological Signal Identification and Persistent Cohomological Cycle Matching
par: García-Redondo, Inés, et autres
Publié: (2022)

Generalized Persistent Laplacians and their Spectral Properties
par: Wolf, Arne, et autres
Publié: (2025)

Entropic Riemannian Neural Optimal Transport
par: Micheli, Alessandro, et autres
Publié: (2026)

Riemannian Neural Optimal Transport
par: Micheli, Alessandro, et autres
Publié: (2026)

Topological Signatures of Grokking
par: Tang, Yifan, et autres
Publié: (2026)

Tropical Expressivity of Neural Networks
par: Lezeau, Paul, et autres
Publié: (2024)

Stability for Inference with Persistent Homology Rank Functions
par: Wang, Qiquan, et autres
Publié: (2023)

The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology
par: Fay, Aideen, et autres
Publié: (2025)

MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
par: Duchesne, Michael, et autres
Publié: (2024)

Breaking the Attention Bottleneck
par: Hilsenbek, Kalle
Publié: (2024)

On the Limitations of Fractal Dimension as a Measure of Generalization
par: Tan, Charlie B., et autres
Publié: (2024)

Model-Level GNN Explanations via Rule-to-Graph Readout for Logit Reconstruction
par: Lu, Shengyao, et autres
Publié: (2025)

Topological Residual Asymmetry for Bivariate Causal Direction
par: Bouchattaoui, Mouad El
Publié: (2026)

Meta-Learning and representation learner: A short theoretical note
par: Bouchattaoui, Mouad El
Publié: (2024)

Learning Causality for Longitudinal Data
par: Bouchattaoui, Mouad EL
Publié: (2025)

Deep Reinforcement Learning for Online Optimal Execution Strategies
par: Micheli, Alessandro, et autres
Publié: (2024)

Breaking the Context Bottleneck on Long Time Series Forecasting
par: Ma, Chao, et autres
Publié: (2024)

An Invitation to Tropical Alexandrov Curvature
par: Améndola, Carlos, et autres
Publié: (2021)

Computing the Tropical Abel--Jacobi Transform and Tropical Distances for Metric Graphs
par: Cao, Yueqi, et autres
Publié: (2025)

Tropical Gradient Descent
par: Talbut, Roan, et autres
Publié: (2024)

A Geometric Condition for Uniqueness of Fréchet Means of Persistence Diagrams
par: Cao, Yueqi, et autres
Publié: (2022)

RLHFSpec: Breaking the Efficiency Bottleneck in RLHF Training via Adaptive Drafting
par: Wang, Siqi, et autres
Publié: (2025)

Symmetry Breaking and Equivariant Neural Networks
par: Kaba, Sékou-Oumar, et autres
Publié: (2023)

Diffusion Models for Inverse Problems in the Exponential Family
par: Micheli, Alessandro, et autres
Publié: (2025)

NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
par: Monod, Mélodie, et autres
Publié: (2025)

Equivariant Symmetry Breaking Sets
par: Xie, YuQing, et autres
Publié: (2024)

Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
par: Saegert, Paul, et autres
Publié: (2026)

AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping
par: Dong, Haonan, et autres
Publié: (2025)

Improving Equivariant Networks with Probabilistic Symmetry Breaking
par: Lawrence, Hannah, et autres
Publié: (2025)

Symmetry-Breaking Descent for Invariant Cost Functionals
par: Osipov, Mikhail
Publié: (2025)

To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking
par: Lawrence, Hannah, et autres
Publié: (2025)

Breaking the Bottlenecks: Scalable Diffusion Models for 3D Molecular Generation
par: Das, Adrita, et autres
Publié: (2026)

Learning Efficiency Meets Symmetry Breaking
par: Bai, Yingbin, et autres
Publié: (2025)

Breaking Symmetry When Training Transformers
par: Zuo, Chunsheng, et autres
Publié: (2024)

RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
par: Cheng, Zelei, et autres
Publié: (2024)