Saved in:
| Main Authors: | Terjék, Dávid, González-Sánchez, Diego |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.14724 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MLPs at the EOC: Spectrum of the NTK
by: Terjék, Dávid, et al.
Published: (2025)
by: Terjék, Dávid, et al.
Published: (2025)
Feature Learning Beyond the Edge of Stability
by: Terjék, Dávid
Published: (2025)
by: Terjék, Dávid
Published: (2025)
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024)
by: Fung, Samy Wu, et al.
Published: (2024)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)
by: Yamchote, Phaphontee, et al.
Published: (2025)
Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
by: Pavlov, Gorgi
Published: (2026)
by: Pavlov, Gorgi
Published: (2026)
Markov Chain Estimation with In-Context Learning
by: Lepage, Simon, et al.
Published: (2025)
by: Lepage, Simon, et al.
Published: (2025)
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
by: Brännvall, Rickard, et al.
Published: (2023)
by: Brännvall, Rickard, et al.
Published: (2023)
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
by: Bastounis, Alexander, et al.
Published: (2023)
by: Bastounis, Alexander, et al.
Published: (2023)
Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
by: Alcalde, Albert, et al.
Published: (2026)
by: Alcalde, Albert, et al.
Published: (2026)
Graph-Conditional Flow Matching for Relational Data Generation
by: Scassola, Davide, et al.
Published: (2025)
by: Scassola, Davide, et al.
Published: (2025)
Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications
by: Huang, Dunsheng, et al.
Published: (2025)
by: Huang, Dunsheng, et al.
Published: (2025)
A Teacher-Student Perspective on the Dynamics of Learning Near the Optimal Point
by: Couto, Carlos, et al.
Published: (2025)
by: Couto, Carlos, et al.
Published: (2025)
Closed-Form Feedback-Free Learning with Forward Projection
by: O'Shea, Robert, et al.
Published: (2025)
by: O'Shea, Robert, et al.
Published: (2025)
Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning
by: Quantiota, Bouarfa Mahi
Published: (2025)
by: Quantiota, Bouarfa Mahi
Published: (2025)
Iterative Orthogonalization Scaling Laws
by: Selvaraj, Devan
Published: (2025)
by: Selvaraj, Devan
Published: (2025)
Segmentation of cracks in 3d images of fiber reinforced concrete using deep learning
by: Nowacka, Anna, et al.
Published: (2025)
by: Nowacka, Anna, et al.
Published: (2025)
Deep generative models as the probability transformation functions
by: Bondar, Vitalii, et al.
Published: (2025)
by: Bondar, Vitalii, et al.
Published: (2025)
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
by: Ding, Wenhao, et al.
Published: (2025)
by: Ding, Wenhao, et al.
Published: (2025)
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
by: Liu, Qiang, et al.
Published: (2024)
by: Liu, Qiang, et al.
Published: (2024)
Tadpole: Autoencoders as Foundation Models for 3D PDEs with Online Learning
by: Liu, Qiang, et al.
Published: (2026)
by: Liu, Qiang, et al.
Published: (2026)
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets
by: Tavakoli, Fatemeh, et al.
Published: (2023)
by: Tavakoli, Fatemeh, et al.
Published: (2023)
Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting
by: Frees, Daniel, et al.
Published: (2024)
by: Frees, Daniel, et al.
Published: (2024)
Flow matching on homogeneous spaces
by: Ruscelli, Francesco
Published: (2026)
by: Ruscelli, Francesco
Published: (2026)
Improving Fairness and Mitigating MADness in Generative Models
by: Mayer, Paul, et al.
Published: (2024)
by: Mayer, Paul, et al.
Published: (2024)
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization
by: Qin, Zhou, et al.
Published: (2024)
by: Qin, Zhou, et al.
Published: (2024)
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
by: Chowdhury, Soutrik Roy
Published: (2024)
by: Chowdhury, Soutrik Roy
Published: (2024)
Training-Free Generative Sampling via Moment-Matched Score Smoothing
by: Yao, Zhenyu, et al.
Published: (2026)
by: Yao, Zhenyu, et al.
Published: (2026)
Generative Design of Ship Propellers using Conditional Flow Matching
by: Kruger, Patrick, et al.
Published: (2026)
by: Kruger, Patrick, et al.
Published: (2026)
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
by: Chizat, Lénaïc, et al.
Published: (2023)
by: Chizat, Lénaïc, et al.
Published: (2023)
Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models
by: Yang, Hong, et al.
Published: (2026)
by: Yang, Hong, et al.
Published: (2026)
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
by: Wenkel, Frederik, et al.
Published: (2022)
by: Wenkel, Frederik, et al.
Published: (2022)
TabPFN for Zero-shot Parametric Engineering Design Generation
by: Wang, Ke, et al.
Published: (2026)
by: Wang, Ke, et al.
Published: (2026)
Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
by: Castin, Valérie, et al.
Published: (2026)
by: Castin, Valérie, et al.
Published: (2026)
Adynamical systems view of training generativemodels and the memorization phenomenon
by: Athreya, Siva, et al.
Published: (2026)
by: Athreya, Siva, et al.
Published: (2026)
BP(λ): Online Learning via Synthetic Gradients
by: Pemberton, Joseph, et al.
Published: (2024)
by: Pemberton, Joseph, et al.
Published: (2024)
Wave-Attractor-Tree: A Hierarchical Binary Tree Reduction Architecture for Efficient Sequence Modeling
by: Berezkin, Igor
Published: (2026)
by: Berezkin, Igor
Published: (2026)
Multi-modal Transfer Learning between Biological Foundation Models
by: Garau-Luis, Juan Jose, et al.
Published: (2024)
by: Garau-Luis, Juan Jose, et al.
Published: (2024)
On the Rashomon ratio of infinite hypothesis sets
by: Coupkova, Evzenie, et al.
Published: (2024)
by: Coupkova, Evzenie, et al.
Published: (2024)
Teaching and Learning under Deductive Errors
by: Telle, Jan Arne, et al.
Published: (2026)
by: Telle, Jan Arne, et al.
Published: (2026)
Theoretical Compression Bounds for Wide Multilayer Perceptrons
by: Cheairi, Houssam El, et al.
Published: (2025)
by: Cheairi, Houssam El, et al.
Published: (2025)
Similar Items
-
MLPs at the EOC: Spectrum of the NTK
by: Terjék, Dávid, et al.
Published: (2025) -
Feature Learning Beyond the Edge of Stability
by: Terjék, Dávid
Published: (2025) -
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024) -
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025) -
Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
by: Pavlov, Gorgi
Published: (2026)