MSML21
MSML21
  • 61
  • 6 199
Reduced Order Modeling using Shallow ReLU Networks with Grassmann Layers
Hayden Schaeffer (Carnegie Mellon University ), Kayla Bollinger (Carnegie Mellon University)
Переглядів: 146

Відео

Average-Case Integrality Gap for Non-Negative Principal Component Analysis14:56Average-Case Integrality Gap for Non-Negative Principal Component Analysis
Average-Case Integrality Gap for Non-Negative Principal Component Analysis
Переглядів 372 роки тому
Afonso S Bandeira (ETH); Dmitriy Kunisky (New York University), Alex Wein (New York University)
Hessian-Aided Random Perturbation (HARP) Using Noisy Zeroth-Order Queries18:15Hessian-Aided Random Perturbation (HARP) Using Noisy Zeroth-Order Queries
Hessian-Aided Random Perturbation (HARP) Using Noisy Zeroth-Order Queries
Переглядів 312 роки тому
Jingyi Zhu (Alibaba Group)
Some observations on partial differential equations in Barron and multi-layer spaces13:38Some observations on partial differential equations in Barron and multi-layer spaces
Some observations on partial differential equations in Barron and multi-layer spaces
Переглядів 992 роки тому
Weinan E (Princeton University); Stephan Wojtowytsch (Princeton University)
Construction of optimal spectral methods in phase retrieval14:54Construction of optimal spectral methods in phase retrieval
Construction of optimal spectral methods in phase retrieval
Переглядів 802 роки тому
Antoine Maillard (Ecole Normale Supérieure), Yue Lu (Harvard University, USA); Lenka Zdeborova (EPFL); Florent Krzakala (École Polytechnique Fédérale de Lausanne)
Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients14:15Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients
Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients
Переглядів 602 роки тому
Yifei Huang (Hong Kong University of Science and Technology), Yaodong Yu (UC Berkeley), Hongyang Zhang (TTIC), Yi Ma (UC Berkeley), Yuan Yao (HongKong University of Science and Technology)
Dynamic Algorithms for Online Multiple Testing13:10Dynamic Algorithms for Online Multiple Testing
Dynamic Algorithms for Online Multiple Testing
Переглядів 322 роки тому
Ziyu Xu (Carnegie Mellon University), Aaditya Ramdas (Carnegie Mellon University)
Solvable Model for Inheriting the Regularization through Knowledge Distillation11:52Solvable Model for Inheriting the Regularization through Knowledge Distillation
Solvable Model for Inheriting the Regularization through Knowledge Distillation
Переглядів 612 роки тому
Luca Saglietti (EPFL), Lenka Zdeborova (EPFL)
Deep Generative Learning via Euler Particle Transport14:26Deep Generative Learning via Euler Particle Transport
Deep Generative Learning via Euler Particle Transport
Переглядів 372 роки тому
Yuan Gao (Xi'an Jiaotong University); Jian Huang (University of Iowa), Yuling Jiao (School of Statistics and Mathematics of Zhongnan University of Economics and Law); Jin Liu (Duke-NUS Medical School); Xiliang Lu (Wuhan University); Zhijian Yang (Wuhan University)
Spectral Geometric Matrix Completion13:01Spectral Geometric Matrix Completion
Spectral Geometric Matrix Completion
Переглядів 372 роки тому
Amit Boyarski (Technion); Sanketh Vedula (Technion), Alex Bronstein (Technion)
Orientation-Preserving Vectorized Distance Between Curves14:02Orientation-Preserving Vectorized Distance Between Curves
Orientation-Preserving Vectorized Distance Between Curves
Переглядів 162 роки тому
Hasan Pourmahmoodaghababa (University of Utah), Jeff Phillips (University of Utah)
Generalization and Memorization: The Bias Potential Model13:39Generalization and Memorization: The Bias Potential Model
Generalization and Memorization: The Bias Potential Model
Переглядів 1012 роки тому
Hongkang Yang (Princeton University), Weinan E (Princeton University)
Sharp threshold for alignment of graph databases with Gaussian weights12:41Sharp threshold for alignment of graph databases with Gaussian weights
Sharp threshold for alignment of graph databases with Gaussian weights
Переглядів 452 роки тому
Luca Ganassali (INRIA (Paris)
Implicit form neural network for learning scalar hyperbolic conservation laws12:58Implicit form neural network for learning scalar hyperbolic conservation laws
Implicit form neural network for learning scalar hyperbolic conservation laws
Переглядів 612 роки тому
Xiaoping Zhang (Wuhan University); Tao Cheng (Wuhan University); Lili Ju (University of South Carolina)
A Qualitative Study of the Dynamic Behavior for Adaptive Gradient Algorithms13:29A Qualitative Study of the Dynamic Behavior for Adaptive Gradient Algorithms
A Qualitative Study of the Dynamic Behavior for Adaptive Gradient Algorithms
Переглядів 212 роки тому
Chao Ma (Princeton University), Lei Wu (Princeton University), Weinan E (Princeton University)
Certifying Robustness of Graph Laplacian-Based Semi-Supervised Learning4:35Certifying Robustness of Graph Laplacian-Based Semi-Supervised Learning
Certifying Robustness of Graph Laplacian-Based Semi-Supervised Learning
Переглядів 432 роки тому
Certifying Robustness of Graph Laplacian-Based Semi-Supervised Learning
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory11:35BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory
Переглядів 1732 роки тому
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory
Numerical Calabi-Yau metrics from holomorphic networks16:22Numerical Calabi-Yau metrics from holomorphic networks
Numerical Calabi-Yau metrics from holomorphic networks
Переглядів 312 роки тому
Numerical Calabi-Yau metrics from holomorphic networks
Solving Bayesian Inverse Problems via Variational Autoencoders15:01Solving Bayesian Inverse Problems via Variational Autoencoders
Solving Bayesian Inverse Problems via Variational Autoencoders
Переглядів 4813 роки тому
Solving Bayesian Inverse Problems via Variational Autoencoders
Borrowing From the Future: Addressing Double Sampling in Model-free Control14:32Borrowing From the Future: Addressing Double Sampling in Model-free Control
Borrowing From the Future: Addressing Double Sampling in Model-free Control
Переглядів 843 роки тому
Borrowing From the Future: Addressing Double Sampling in Model-free Control
On the emergence of tetrahedral symmetry in the final and penultimate layers (...)14:59On the emergence of tetrahedral symmetry in the final and penultimate layers (...)
On the emergence of tetrahedral symmetry in the final and penultimate layers (...)
Переглядів 543 роки тому
On the emergence of tetrahedral symmetry in the final and penultimate layers (...)
A Data Driven Method for Computing Quasipotentials9:59A Data Driven Method for Computing Quasipotentials
A Data Driven Method for Computing Quasipotentials
Переглядів 553 роки тому
A Data Driven Method for Computing Quasipotentials
Interpretable and Learnable Super-Resolution Time-Frequency Representation14:38Interpretable and Learnable Super-Resolution Time-Frequency Representation
Interpretable and Learnable Super-Resolution Time-Frequency Representation
Переглядів 1233 роки тому
Interpretable and Learnable Super-Resolution Time-Frequency Representation
DNNs Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data14:42DNNs Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data
DNNs Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data
Переглядів 293 роки тому
DNNs Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm14:37Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm
Переглядів 353 роки тому
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?15:00Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?
Переглядів 6943 роки тому
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?
Kernel-Based Smoothness Analysis of Residual Networks16:15Kernel-Based Smoothness Analysis of Residual Networks
Kernel-Based Smoothness Analysis of Residual Networks
Переглядів 303 роки тому
Kernel-Based Smoothness Analysis of Residual Networks
Phase Retrieval with Holography and Untrained Priors:15:27Phase Retrieval with Holography and Untrained Priors:
Phase Retrieval with Holography and Untrained Priors:
Переглядів 1633 роки тому
Phase Retrieval with Holography and Untrained Priors:
Reconstruction of Pairwise Interactions using Energy-Based Models15:00Reconstruction of Pairwise Interactions using Energy-Based Models
Reconstruction of Pairwise Interactions using Energy-Based Models
Переглядів 943 роки тому
Reconstruction of Pairwise Interactions using Energy-Based Models
A deep learning method for solving Fokker-Planck equations13:46A deep learning method for solving Fokker-Planck equations
A deep learning method for solving Fokker-Planck equations
Переглядів 4953 роки тому
A deep learning method for solving Fokker-Planck equations