On the Expressive Power of Deep Learning: A Tensor Analysis

16 September 2015

Papers citing "On the Expressive Power of Deep Learning: A Tensor Analysis"

50 / 246 papers shown

Title
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation Wuyang Chen Xianzhi Du Fan Yang Lucas Beyer Xiaohua Zhai ... Huizhong Chen Jing Li Xiaodan Song Zhangyang Wang Denny Zhou ViT 29 20 0 17 Dec 2021
Neural Tangent Kernel of Matrix Product States: Convergence and Applications Erdong Guo D. Draper 17 2 0 28 Nov 2021
Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks T. Getu 27 2 0 25 Nov 2021
Neural networks with linear threshold activations: structure and algorithms Sammy Khalife Hongyu Cheng A. Basu 42 14 0 15 Nov 2021
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method Zhongjian Wang Jack Xin Zhiwen Zhang 39 15 0 02 Nov 2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 27 9 0 27 Oct 2021
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees Osman Asif Malik 36 14 0 14 Oct 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 29 18 0 30 Aug 2021
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics Wuyang Chen Xinyu Gong Junru Wu Yunchao Wei Humphrey Shi Zhicheng Yan Yi Yang Zhangyang Wang 31 9 0 26 Aug 2021
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data L. Ho Nicholas Richardson Giang Tran 20 3 0 24 Aug 2021
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 49 35 0 30 Jul 2021
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers Colin Wei Yining Chen Tengyu Ma 21 88 0 28 Jul 2021
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning Alberto Badías A. Banerjee 12 3 0 02 Jul 2021
Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework Jacob Miller Geoffrey Roeder T. Bradley 21 6 0 29 Jun 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning Pan Zhou Caiming Xiong Xiaotong Yuan Guosheng Lin SSL 22 12 0 28 Jun 2021
Tensor-based framework for training flexible neural networks Yassine Zniyed K. Usevich S. Miron D. Brie 27 1 0 25 Jun 2021
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise Nidhin Harilal Udit Bhatia A. Ganguly OOD 24 0 0 23 Jun 2021
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models Behnoush Khavari Guillaume Rabusseau 10 2 0 22 Jun 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 32 5 0 08 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 26 32 0 31 May 2021
Patch Tracking-based Streaming Tensor Ring Completion for Visual Data Recovery Yicong He George Atia 27 9 0 30 May 2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects Oliver T. Unke Stefan Chmiela M. Gastegger Kristof T. Schütt H. E. Sauceda K. Müller 177 247 0 01 May 2021
Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure Miao Yin Siyu Liao Xiao-Yang Liu Xiaodong Wang Bo Yuan AI4TS 30 31 0 12 Apr 2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification Konstantinos Makantasis Alexandros Georgogiannis A. Voulodimos Ioannis Georgoulas Anastasios Doulamis N. Doulamis 26 21 0 11 Apr 2021
Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh ViT 380 565 0 30 Mar 2021
Tensor Networks for Multi-Modal Non-Euclidean Data Y. Xu Kriton Konstantinidis Danilo P. Mandic 16 1 0 27 Mar 2021
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 24 24 0 11 Mar 2021
Entangled q-Convolutional Neural Nets V. Anagiannis Miranda C. N. Cheng 16 5 0 06 Mar 2021
Deep ReLU Networks Preserve Expected Length Boris Hanin Ryan Jeong David Rolnick 29 14 0 21 Feb 2021
Implicit Regularization in Tensor Factorization Noam Razin Asaf Maman Nadav Cohen 33 48 0 19 Feb 2021
An end-to-end trainable hybrid classical-quantum classifier Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 18 70 0 04 Feb 2021
Depth separation beyond radial functions Luca Venturi Samy Jelassi Tristan Ozuch Joan Bruna 19 15 0 02 Feb 2021
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models Chunxing Yin Bilge Acun Xing Liu Carole-Jean Wu 50 102 0 25 Jan 2021
Convolutional Neural Nets in Chemical Engineering: Foundations, Computations, and Applications Shengli Jiang Victor M. Zavala AI4CE 20 25 0 13 Jan 2021
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Asaf Noy Yi Tian Xu Y. Aflalo Lihi Zelnik-Manor Rong Jin 41 3 0 12 Jan 2021
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation Clara Menzen Manon Kok Kim Batselier 13 5 0 21 Dec 2020
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine Pedro M. Domingos MLT 29 71 0 30 Nov 2020
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 38 49 0 30 Nov 2020
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks Matthew T.C. Li L. Demanet Leonardo Zepeda-Núnez 35 8 0 24 Nov 2020
Multi-Graph Tensor Networks Yao Xu Kriton Konstantinidis Danilo P. Mandic 30 7 0 25 Oct 2020
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning Tianyu Li Doina Precup Guillaume Rabusseau 11 8 0 19 Oct 2020
Towards Reflectivity profile inversion through Artificial Neural Networks J. M. Carmona Loaiza Zamaan Raza 23 11 0 15 Oct 2020
Machine Learning Force Fields Oliver T. Unke Stefan Chmiela H. E. Sauceda M. Gastegger I. Poltavsky Kristof T. Schütt A. Tkatchenko K. Müller AI4CE 34 888 0 14 Oct 2020
Locally orderless tensor networks for classifying two- and three-dimensional medical images Raghavendra Selvan S. Orting Erik Dam 21 6 0 25 Sep 2020
Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequence Y. Xu Danilo P. Mandic GNN 20 4 0 18 Sep 2020
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior Lei Cheng Zhongtao Chen Qingjiang Shi Yik-Chung Wu Sergios Theodoridis 6 29 0 05 Sep 2020
Error estimate for a universal function approximator of ReLU network with a local connection Jaeyeon Kang Sunghwan Moon 11 0 0 03 Sep 2020
When Hardness of Approximation Meets Hardness of Learning Eran Malach Shai Shalev-Shwartz 18 9 0 18 Aug 2020
Adaptive Learning of Tensor Network Structures Meraj Hashemizadeh M. Liu Jacob Miller Guillaume Rabusseau 14 8 0 12 Aug 2020
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach Amit Kumar Jaiswal Haiming Liu Ingo Frommholz 8 0 0 05 Aug 2020