Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
All Papers
0 / 0 papers shown
Title
Home
Papers
1806.07572
Cited By
v1
v2
v3
v4 (latest)
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
20 June 2018
Arthur Jacot
Franck Gabriel
Clément Hongler
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Neural Tangent Kernel: Convergence and Generalization in Neural Networks"
50 / 2,402 papers shown
Title
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Moritz A. Zanger
Pascal R. van der Vaart
Wendelin Bohmer
M. Spaan
UQCV
BDL
922
3
0
14 Mar 2025
Learning richness modulates equality reasoning in neural networks
William L. Tong
Cengiz Pehlevan
259
0
0
12 Mar 2025
Global Convergence and Rich Feature Learning in
L
L
L
-Layer Infinite-Width Neural Networks under
μ
μ
μ
P Parametrization
Zixiang Chen
Greg Yang
Qingyue Zhao
Q. Gu
MLT
217
2
0
12 Mar 2025
Context-aware Biases for Length Extrapolation
Ali Veisi
Hamidreza Amirzadeh
Amir Mansourian
455
1
0
11 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse Problems
International Conference on Learning Representations (ICLR), 2025
Apivich Hemachandra
Gregory Kang Ruey Lau
Szu Hui Ng
Bryan Kian Hsiang Low
PINN
299
0
0
10 Mar 2025
Parametric Value Approximation for General-sum Differential Games with State Constraints
Lei Zhang
Mukesh Ghimire
Wenlong Zhang
Z. Xu
Yi Ren
216
0
0
10 Mar 2025
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models
Khoat Than
Dat Phan
BDL
AAML
VLM
217
0
0
10 Mar 2025
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
International Conference on Learning Representations (ICLR), 2025
Devon Jarvis
Richard Klein
Benjamin Rosman
Andrew M. Saxe
MLT
312
2
0
08 Mar 2025
Uncertainty Quantification From Scaling Laws in Deep Neural Networks
Ibrahim Elsharkawy
Yonatan Kahn
Benjamin Hooberman
UQCV
217
0
0
07 Mar 2025
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability
Lijia Yu
Yibo Miao
Yifan Zhu
Xiao-Shan Gao
Lijun Zhang
234
0
0
06 Mar 2025
A Theory of Initialisation's Impact on Specialisation
International Conference on Learning Representations (ICLR), 2025
Devon Jarvis
Sebastian Lee
Clémentine Dominé
Andrew M. Saxe
Stefano Sarao Mannelli
CLL
241
2
0
04 Mar 2025
Multi-Level Collaboration in Model Merging
Qi Li
Runpeng Yu
Xinchao Wang
MoMe
FedML
257
0
0
03 Mar 2025
A Near Complete Nonasymptotic Generalization Theory For Multilayer Neural Networks: Beyond the Bias-Variance Tradeoff
Hao Yu
Xiangyang Ji
AI4CE
181
0
0
03 Mar 2025
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
Yifang Chen
Xuyang Guo
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
246
3
0
03 Mar 2025
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
International Conference on Learning Representations (ICLR), 2025
Samet Demir
Zafer Dogan
MLT
234
2
0
02 Mar 2025
On the Saturation Effects of Spectral Algorithms in Large Dimensions
Neural Information Processing Systems (NeurIPS), 2025
Weihao Lu
Haobo Zhang
Yicheng Li
Q. Lin
269
2
0
01 Mar 2025
Variational Bayesian Pseudo-Coreset
International Conference on Learning Representations (ICLR), 2025
Hyungi Lee
Seanie Lee
Juho Lee
BDL
155
0
0
28 Feb 2025
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
Yoonsoo Nam
Seok Hyeong Lee
Clementine Domine
Yea Chan Park
Charles London
Wonyl Choi
Niclas Goring
Seungjai Lee
AI4CE
480
1
0
28 Feb 2025
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
Pavel Rumiantsev
Mark Coates
245
0
0
27 Feb 2025
Training Large Neural Networks With Low-Dimensional Error Feedback
Maher Hanut
Jonathan Kadmon
340
2
0
27 Feb 2025
Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models
Minseok Kim
Yeongjong Kim
Yeoneung Kim
PINN
188
1
0
27 Feb 2025
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
Chaitanya Kapoor
Sudhanshu Srivastava
Meenakshi Khosla
322
0
0
26 Feb 2025
A Survey of Automatic Prompt Optimization with Instruction-focused Heuristic-based Search Algorithm
Wendi Cui
Jiaxin Zhang
Hao Sun
Damien Lopez
Damien Lopez
Kamalika Das
Sricharan Kumar
Sricharan Kumar
293
3
0
26 Feb 2025
Low-rank bias, weight decay, and model merging in neural networks
Ilja Kuzborskij
Yasin Abbasi-Yadkori
295
1
0
24 Feb 2025
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning
Jason Jingzhou Liu
Yulong Li
Kenneth Shaw
Tony Tao
Ruslan Salakhutdinov
Deepak Pathak
OffRL
430
17
0
24 Feb 2025
Feature maps for the Laplacian kernel and its generalizations
Sudhendu Ahir
Parthe Pandit
180
0
0
24 Feb 2025
Convergence of Shallow ReLU Networks on Weakly Interacting Data
Léo Dana
Francis R. Bach
Loucas Pillaud-Vivien
MLT
241
2
0
24 Feb 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
AAAI Conference on Artificial Intelligence (AAAI), 2025
Antoine Ledent
Peng Liu
FAtt
586
0
0
20 Feb 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Neural Information Processing Systems (NeurIPS), 2022
Kaining Zhang
Liu Liu
Min-hsiu Hsieh
Dacheng Tao
344
90
0
20 Feb 2025
Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation
Tatsuya Aoyama
Hanting Yang
Hiroyuki Hanada
Satoshi Akahane
Tomonari Tanaka
...
Noriaki Hashimoto
Taro Murayama
Hanju Lee
Shinya Kojima
Ichiro Takeuchi
313
0
0
18 Feb 2025
Fishing For Cheap And Efficient Pruners At Initialization
Ivo Gollini Navarrete
Nicolas Mauricio Cuadrado
Jose Renato Restom
Martin Takáč
Samuel Horvath
187
0
0
17 Feb 2025
Linear Mode Connectivity in Differentiable Tree Ensembles
International Conference on Learning Representations (ICLR), 2024
Ryuichi Kanoh
M. Sugiyama
358
1
0
17 Feb 2025
Learning Theory for Kernel Bilevel Optimization
Fares El Khoury
Edouard Pauwels
Samuel Vaiter
Michael Arbel
895
0
0
12 Feb 2025
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
Michael Arbel
David Salinas
Katharina Eggensperger
380
4
0
10 Feb 2025
Deep Ritz method with Fourier feature mapping: A deep learning approach for solving variational models of microstructure
Journal of Computer Science (JCS), 2025
Ensela Mema
Ting Wang
Jaroslaw Knap
179
1
0
08 Feb 2025
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights
Computer Vision and Pattern Recognition (CVPR), 2025
Ondřej Týbl
Lukáš Neumann
183
1
0
07 Feb 2025
Online Clustering of Dueling Bandits
Zhiyong Wang
Jiahang Sun
Mingze Kong
Jize Xie
Qinghua Hu
J. C. Lui
Zhongxiang Dai
267
0
0
04 Feb 2025
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
Blake Bordelon
Cengiz Pehlevan
AI4CE
639
5
0
04 Feb 2025
Observation Noise and Initialization in Wide Neural Networks
Sergio Calvo-Ordoñez
Jonathan Plenk
Richard Bergna
Alvaro Cartea
Jose Miguel Hernandez-Lobato
Konstantina Palla
Kamil Ciosek
244
3
0
03 Feb 2025
STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation
Alireza Morsali
MohammadJavad Vaez
Mohammadhossein Soltani
Amirhossein Kazerouni
Babak Taati
Morteza Mohammad-Noori
883
2
0
02 Feb 2025
On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs
Juan Daniel Meshir
Abel Palafox
Edgar Alejandro Guerrero
303
5
0
01 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
Md Atik Ahamed
Andrew Cheng
Qiang Ye
Q. Cheng
GNN
221
0
0
01 Feb 2025
Position: Curvature Matrices Should Be Democratized via Linear Operators
Felix Dangel
Runa Eschenhagen
Weronika Ormaniec
Andres Fernandez
Lukas Tatzel
Agustinus Kristiadi
351
5
0
31 Jan 2025
Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry
Giovanni Luca Marchetti
Vahid Shahverdi
Stefano Mereta
Matthew Trager
Kathlén Kohn
304
5
0
31 Jan 2025
A theoretical framework for overfitting in energy-based modeling
Giovanni Catania
A. Decelle
Cyril Furtlehner
Beatriz Seoane
428
2
0
31 Jan 2025
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei
Ali Ansari
Bahar Dibaei Nia
Mojtaba Nafez
Moein Madadi
...
Kian Shamsaie
Mahdi Hajialilue
Jafar Habibi
Mohammad Sabokrou
M. Rohban
OODD
334
5
0
28 Jan 2025
MILP initialization for solving parabolic PDEs with PINNs
Sirui Li
Federica Bragone
Matthieu Barreau
Kateryna Morozovska
193
1
0
28 Jan 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
Boyang Li
320
6
0
28 Jan 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
574
8
0
26 Jan 2025
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
Oshani Seneviratne
DD
224
0
0
23 Jan 2025
Previous
1
2
3
...
6
7
8
...
47
48
49
Next