Deep learning: a statistical viewpoint

16 March 2021

Papers citing "Deep learning: a statistical viewpoint"

50 / 93 papers shown

Title
Dense Associative Memory with Epanechnikov Energy Benjamin Hoover Zhaoyang Shi Krishnakumar Balasubramanian Dmitry Krotov Parikshit Ram 106 0 0 12 Jun 2025
Models of Heavy-Tailed Mechanistic Universality Liam Hodgkinson Zhichao Wang Michael W. Mahoney 68 1 0 04 Jun 2025
Implicit Regularization of the Deep Inverse Prior Trained with Inertia Nathan Buskulic Jalal Fadil Yvain Quéau 38 1 0 03 Jun 2025
Statistical mechanics of extensive-width Bayesian neural networks near interpolation Jean Barbier Francesco Camilli Minh-Toan Nguyen Mauro Pastore Rudy Skerk 39 0 0 30 May 2025
Conformal Object Detection by Sequential Risk Control Léo Andéol Luca Mossina Adrien Mazoyer Sébastien Gerchinovitz 53 0 0 29 May 2025
Fractal and Regular Geometry of Deep Neural Networks Simmaco Di Lillo Domenico Marinucci Michele Salvi Stefano Vigogna MDE AI4CE 62 1 0 08 Apr 2025
Feature maps for the Laplacian kernel and its generalizations Sudhendu Ahir Parthe Pandit 99 0 0 24 Feb 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization Simone Bombari Marco Mondelli 301 0 0 03 Feb 2025
Functional Risk Minimization Ferran Alet Clement Gehring Tomás Lozano-Pérez Kenji Kawaguchi Joshua B. Tenenbaum Leslie Pack Kaelbling OffRL 122 0 0 31 Dec 2024
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation Satoki Ishikawa Rio Yokota Ryo Karakida 126 0 0 04 Nov 2024
On Memorization of Large Language Models in Logical Reasoning Chulin Xie Yangsibo Huang Chiyuan Zhang Da Yu Xinyun Chen Bill Yuchen Lin Bo Li Badih Ghazi Ravi Kumar LRM 148 41 0 30 Oct 2024
Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization Yang Chen Long Yang Yitao Liang Zhouchen Lin 112 1 0 11 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 116 3 0 09 Oct 2024
Simplicity bias and optimization threshold in two-layer ReLU networks Etienne Boursier Nicolas Flammarion 93 4 0 03 Oct 2024
On the Pinsker bound of inner product kernel regression in large dimensions Weihao Lu Jialin Ding Haobo Zhang Qian Lin 93 1 0 02 Sep 2024
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent Michael Kohler A. Krzyżak Benjamin Walter 79 1 0 13 May 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 138 16 0 28 Jan 2024
Statistical learning by sparse deep neural networks Felix Abramovich BDL 77 1 0 15 Nov 2023
Efficient kernel surrogates for neural network-based regression S. Qadeer A. Engel Amanda A. Howard Adam Tsou Max Vargas P. Stinis Tony Chiang 107 5 0 28 Oct 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 89 1 0 13 Sep 2023
Six Lectures on Linearized Neural Networks Theodor Misiakiewicz Andrea Montanari 134 13 0 25 Aug 2023
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness Patrick Butlin R. Long Eric Elmoznino Yoshua Bengio Jonathan C. P. Birch ... L. Mudrik Megan A. K. Peters Eric Schwitzgebel Jonathan Simon Rufin VanRullen LLMAG 85 107 0 17 Aug 2023
Quantitative CLTs in Deep Neural Networks Stefano Favaro Boris Hanin Domenico Marinucci I. Nourdin G. Peccati BDL 112 16 0 12 Jul 2023
Large Language Models Michael R Douglas LLMAG LM&MA 172 645 0 11 Jul 2023
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit Lorenzo Noci Chuning Li Mufan Li Bobby He Thomas Hofmann Chris J. Maddison Daniel M. Roy 125 36 0 30 Jun 2023
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models David X. Wu A. Sahai 105 3 0 23 Jun 2023
Generalized equivalences between subsampling and ridge regularization Pratik V. Patil Jin-Hong Du 91 5 0 29 May 2023
From Tempered to Benign Overfitting in ReLU Neural Networks Guy Kornowski Gilad Yehudai Ohad Shamir 91 13 0 24 May 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension Moritz Haas David Holzmüller U. V. Luxburg Ingo Steinwart MLT 100 14 0 23 May 2023
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold Jialin Mao Itay Griniasty H. Teoh Rahul Ramesh Rubing Yang Mark K. Transtrum James P. Sethna Pratik Chaudhari 3DPC 85 16 0 02 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 69 3 0 09 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 107 6 0 06 Apr 2023
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior Nathan Buskulic Yvain Quéau M. Fadili BDL 71 2 0 20 Mar 2023
Learning time-scales in two-layers neural networks Raphael Berthier Andrea Montanari Kangjie Zhou 196 38 0 28 Feb 2023
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning François Caron Fadhel Ayed Paul Jung Hoileong Lee Juho Lee Hongseok Yang 129 2 0 02 Feb 2023
From Risk Prediction to Risk Factors Interpretation. Comparison of Neural Networks and Classical Statistics for Dementia Prediction C. Huber 33 0 0 17 Jan 2023
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks Ilja Kuzborskij Csaba Szepesvári 73 4 0 28 Dec 2022
A note on the prediction error of principal component regression in high dimensions L. Hucker Martin Wahl 78 6 0 09 Dec 2022
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning Cesare Caputo Michel-Alexandre Cardin Pudong Ge Fei Teng A. Korre Ehecatl Antonio del Rio Chanona 39 18 0 08 Dec 2022
Why Neural Networks Work Sayan Mukherjee Bernardo A. Huberman 39 2 0 26 Nov 2022
Spectral Evolution and Invariance in Linear-width Neural Networks Zhichao Wang A. Engel Anand D. Sarwate Ioana Dumitriu Tony Chiang 116 18 0 11 Nov 2022
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation A. Marcianò De-Wei Chen Filippo Fabrocini C. Fields M. Lulli Emanuele Zappala GNN 37 5 0 25 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 109 92 0 18 Oct 2022
Advancing Model Pruning via Bi-level Optimization Yihua Zhang Yuguang Yao Parikshit Ram Pu Zhao Tianlong Chen Min-Fong Hong Yanzhi Wang Sijia Liu 150 68 0 08 Oct 2022
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima Peter L. Bartlett Philip M. Long Olivier Bousquet 162 37 0 04 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 98 2 0 02 Oct 2022
Restricted Strong Convexity of Deep Learning Models with Smooth Activations A. Banerjee Pedro Cisneros-Velarde Libin Zhu M. Belkin 73 8 0 29 Sep 2022
Deep Linear Networks can Benignly Overfit when Shallow Ones Do Niladri S. Chatterji Philip M. Long 96 8 0 19 Sep 2022
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Yunwen Lei Rong Jin Yiming Ying MLT 100 19 0 19 Sep 2022
Incremental Learning in Diagonal Linear Networks Raphael Berthier CLL AI4CE 93 17 0 31 Aug 2022