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MSML
Member since:
2020-12-29
Last seen:
2020-12-29
User details
Name:
Mathematical and Scientific Machine Learning Conference
Website:
http://msml-conf.org/
About me:
The objective of this annual conference series is to promote the study of: - Theory and algorithms of machine learning - Applications in scientific and engineering disciplines such as physics, chemistry, material sciences, etc.
Papertalks of MSML
20/07/2020
Deep learning interpretation: Flip points and homotopy methods
Roozbeh Yousefzadeh
,
Dianne P. O’Leary
Keywords
Abstract
Paper
15:51
20/07/2020
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning
Alia Abbaras
,
Benjamin Aubin
,
Florent Krzakala
,
Lenka Zdeborová
Keywords
Abstract
Paper
15:37
20/07/2020
Exact asymptotics for phase retrieval and compressed sensing with random generative priors
Benjamin Aubin
,
Bruno Loureiro
,
Antoine Baker
and
Florent Krzakala
,
Lenka Zdeborová
Keywords
Abstract
Paper
16:19
20/07/2020
SchrödingerRNN: Generative modeling of raw audio as a continuously observed quantum state
Beñat Mencia Uranga
,
Austen Lamacraft
Keywords
Abstract
Paper
13:59
20/07/2020
On the stable recovery of deep structured linear networks under sparsity constraints
François Malgouyres
Keywords
Abstract
Paper
18:44
20/07/2020
Neural network integral representations with the ReLU activation function
Armenak Petrosyan
,
Anton Dereventsov
,
Clayton G. Webster
Keywords
Abstract
Paper
12:37
20/07/2020
A type of generalization error induced by initialization in deep neural networks
Yaoyu Zhang
,
Zhi-Qin John Xu
,
Tao Luo
,
Zheng Ma
Keywords
Abstract
Paper
17:33
20/07/2020
Non-Gaussian processes and neural networks at finite widths
Sho Yaida
Keywords
Abstract
Paper
11:14
20/07/2020
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training
Yunru Liu
,
Tingran Gao
,
Haizhao Yang
Keywords
Abstract
Paper
20:50
20/07/2020
Calibrating Multivariate Lévy Processes with Neural Networks
Kailai Xu
,
Eric Darve
Keywords
Abstract
Paper
9:57
20/07/2020
Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games
Jiequn Han
,
Ruimeng Hu
Keywords
Abstract
Paper
16:35
20/07/2020
Borrowing From the Future: An Attempt to Address Double Sampling
Yuhua Zhu
,
Lexing Ying
Keywords
Abstract
Paper
14:26
20/07/2020
Deep Domain Decomposition Method: Elliptic Problems
Wuyang Li
,
Xueshuang Xiang
,
Yingxiang Xu
Keywords
Abstract
Paper
18:09
20/07/2020
Landscape Complexity for the Empirical Risk of Generalized Linear Models
Antoine Maillard
,
Gérard Ben Arous
,
Giulio Biroli
Keywords
Abstract
Paper
16:52
20/07/2020
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
Bao Wang
,
Quanquan Gu
,
March Boedihardjo
and
Lingxiao Wang
,
Farzin Barekat
,
Stanley J. Osher
Keywords
Abstract
Paper
17:42
20/07/2020
The Slow Deterioration of the Generalization Error of the Random Feature Model
Chao Ma
,
Lei Wu
,
Weinan E
Keywords
Abstract
Paper
14:29
20/07/2020
Large deviations for the perceptron model and consequences for active learning
Hugo Cui
,
Luca Saglietti
,
Lenka Zdeborova
Keywords
Abstract
Paper
14:19
20/07/2020
Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization
Zhongshu Xu
,
Yingzhou Li
,
Xiuyuan Cheng
Keywords
Abstract
Paper
13:42
20/07/2020
Deep learning Markov and Koopman models with physical constraints
Andreas Mardt
,
Luca Pasquali
,
Frank Noé
,
Hao Wu
Keywords
Abstract
Paper
16:14
20/07/2020
Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs
Tankut Can
,
Kamesh Krishnamurthy
,
David J. Schwab
Keywords
Abstract
Paper
21:00
20/07/2020
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint
Eric C. Cyr
,
Mamikon A. Gulian
,
Ravi G. Patel
and
Mauro Perego
,
Nathaniel A. Trask
Keywords
Abstract
Paper
17:10
20/07/2020
New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice
Vladimir A. Kobzar
,
Robert V. Kohn
,
Zhilei Wang
Keywords
Abstract
Paper
18:10
20/07/2020
Data-driven Compact Models for Circuit Design and Analysis
K. Aadithya
,
P. Kuberry
,
B. Paskaleva
and
P. Bochev
,
K. Leeson
,
A. Mar
,
T. Mei
,
E. Keiter
Keywords
Abstract
Paper
18:07
20/07/2020
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds
Michael Perlmutter
,
Feng Gao
,
Guy Wolf
,
Matthew Hirn
Keywords
Abstract
Paper
14:42
20/07/2020
Policy Gradient based Quantum Approximate Optimization Algorithm
Jiahao Yao
,
Marin Bukov
,
Lin Lin
Keywords
Abstract
Paper
12:03
20/07/2020
Quantum Ground States from Reinforcement Learning
Ariel Barr
,
Willem Gispen
,
Austen Lamacraft
Keywords
Abstract
Paper
16:19