Statistics
9451 papers in Statistics
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TITLE
DATE
VIEWS
On the human evaluation of audio adversarial examples
By Jon Vadillo, Roberto Santana · ArXiv: 2001.08444
2021-02-15
0
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming
By Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manch · ArXiv: 2001.08169
2020-01-23
10
Estimating the reach of a manifold via its convexity defect function
By Clément Berenfeld, John Harvey, Marc Hoffmann · ArXiv: 2001.08006
2022-04-27
2
Integrating data science ethics into an undergraduate major: A case study
By Benjamin S. Baumer, R, i L. Garcia · ArXiv: 2001.07649
2022-02-01
1
When black box algorithms are (not) appropriate: a principled prediction-problem ontology
By Jordan Rodu, Michael Baiocchi · ArXiv: 2001.07648
2023-02-16
1
MonteCarloMeasurements.jl: Nonlinear Propagation of Arbitrary Multivariate Distributions by means of Method Overloading
By Fredrik Bagge Carlson · ArXiv: 2001.07625
2020-01-22
0
EdgeNets:Edge Varying Graph Neural Networks
By Elvin Isufi, Fern, o Gama · ArXiv: 2001.07620
2021-07-28
0
The Elliptical Ornstein-Uhlenbeck Process
By *정보가 제공되지 않음* (논문에 명시된 저자 정보를 입력해 주세요.) · ArXiv: 2001.05965
2021-12-08
0
Adversarial Example Generation using Evolutionary Multi-objective Optimization
By Takahiro Suzuki, Shingo Takeshita, Satoshi Ono · ArXiv: 2001.05844
2024-07-09
1
Learning a Single Neuron with Gradient Methods
By **
제공되지 않음 (논문에 저자 정보가 명시되지 않았습니다)
** · ArXiv: 2001.05205
2022-03-01
0
Simulation Assisted Likelihood-free Anomaly Detection
By **
Kyle Cranmer, Johann Brehmer, Gilles Louppe · ArXiv: 2001.05001
2020-05-13
1
Error control in the numerical posterior distribution in the Bayesian UQ analysis of a semilinear evolution PDE
By Maria L. Daza-Torres, J. Cricelio Montesinos-López, Marcos A. Capistrán · ArXiv: 2001.04977
2020-12-17
0
Bio-Inspired Hashing for Unsupervised Similarity Search
By Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg · ArXiv: 2001.04907
2020-10-09
0
Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning
By Zeyuan Allen-Zhu, Yuanzhi Li · ArXiv: 2001.04413
2023-07-10
0
Resolving the induction problem: Can we state with complete confidence via induction that the sun rises forever?
By Youngjo Lee · ArXiv: 2001.04110
2025-03-03
1
Poly-time universality and limitations of deep learning
By Emmanuel Abbe, Colin S, on · ArXiv: 2001.02992
2020-01-10
0
Stochastic Local Interaction Model: Geostatistics without Kriging
By Dionissios T. Hristopulos, Andreas Pavlides, Vasiliki D. Agou · ArXiv: 2001.02246
2021-07-07
0
Exact Bayesian inference for discretely observed Markov Jump Processes using finite rate matrices
By Chris Sherlock, Andrew Golightly · ArXiv: 2001.02168
2022-06-22
2
Implementing version control with Git and GitHub as a learning objective in statistics and data science courses
By **
(논문에 명시된 저자 정보를 제공해 주세요. 현재 제공된 텍스트에는 저자 명단이 포함되어 있지 않습니다.)
** · ArXiv: 2001.01988
2020-11-10
0
Frosting Weights for Better Continual Training
By Xiaofeng Zhu, Feng Liu, Goce Trajcevski · ArXiv: 2001.01829
2020-01-10
0
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
By Sebastian Risi, Kenneth O. Stanley · ArXiv: 2001.01683
2021-02-24
0
Recognizing Images with at most one Spike per Neuron
By Christoph St"ockl, Wolfgang Maass · ArXiv: 2001.01682
2020-01-22
0
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning
By Mingyuan Meng, Xingyu Yang, Lei Bi · ArXiv: 2001.01680
2022-09-20
0
Are skip connections necessary for biologically plausible learning rules?
By Daniel Jiwoong Im, Rutuja Patil, Kristin Branson · ArXiv: 2001.01647
2020-01-07
1
Universal Hysteresis Identification Using Extended Preisach Neural Network
By Mojtaba Farrokh, Mehrdad Shafiei Dizaji, Farzad Shafiei Dizaji · ArXiv: 2001.01559
2020-01-07
0
Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data
By Satoru Tokuda, Kenji Nagata, Masato Okada · ArXiv: 2001.01335
2022-12-07
1
A System for Real-Time Interactive Analysis of Deep Learning Training
By Shital Shah, Rol, Fern · ArXiv: 2001.01215
2020-01-08
0
Toward Optimal Adversarial Policies in the Multiplicative Learning System with a Malicious Expert
By S. Rasoul Etesami, Negar Kiyavash, Vincent Leon · ArXiv: 2001.00543
2020-09-21
22
Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks
By Yoh-ichi Mototake · ArXiv: 2001.00111
2021-03-24
0