A high-bias, low-variance introduction to Machine Learning for physicists

23 March 2018

Marin Bukov

Papers citing "A high-bias, low-variance introduction to Machine Learning for physicists"

47 / 47 papers shown

Title
Inferring genotype-phenotype maps using attention models Krishna Rijal Caroline M. Holmes Samantha Petti Gautam Reddy Michael M. Desai Pankaj Mehta 22 0 0 14 Apr 2025
Machine learning for cerebral blood vessels' malformations Irem Topal Alexander Cherevko Yuri Bugay Maxim Shishlenin Jean Barbier Deniz Eroglu Édgar Roldán Roman Belousov 74 0 0 25 Nov 2024
Persistent Homology for Structural Characterization in Disordered Systems An Wang Li Zou 71 1 0 21 Nov 2024
Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC E. Arganda Marcela Carena M. D. L. Rios A. D. Perez Duncan Rocha Rosa María Sandá Seoane Carlos E. M. Wagner AI4CE 23 0 0 17 Oct 2024
A convolutional neural network approach to deblending seismic data Jing Sun S. Slang T. Elboth Thomas Larsen Greiner S. McDonald L. Gelius 20 51 0 12 Sep 2024
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials Daniel Lanzoni Andrea Fantasia R. Bergamaschini Olivier Pierre-Louis F. Montalenti AI4CE 26 0 0 29 Jul 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey B. V. Zwol Ro Jefferson E. V. D. Broek 50 0 0 04 Jul 2024
Generative modeling through internal high-dimensional chaotic activity Samantha J. Fournier Pierfrancesco Urbani 32 1 0 17 May 2024
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications Lucas Böttcher Gregory R. Wheeler 32 0 0 05 Apr 2024
Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education M. Hofmann M. T. Jansen Christoph Wigbels Benny B. Briesemeister A. M. Jacobs 30 0 0 29 Mar 2024
Nonlinearity Enhanced Adaptive Activation Functions David Yevick 18 1 0 29 Mar 2024
Convolutional Neural Networks for signal detection in real LIGO data O. Zelenka Bernd Brügmann F. Ohme 25 2 0 12 Feb 2024
Machine learning in and out of equilibrium Shishir Adhikari Alkan Kabakcciouglu A. Strang Deniz Yuret M. Hinczewski 22 4 0 06 Jun 2023
Do deep neural networks have an inbuilt Occam's razor? Chris Mingard Henry Rees Guillermo Valle Pérez A. Louis UQCV BDL 21 15 0 13 Apr 2023
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach A. Braghetto E. Orlandini M. Baiesi 32 4 0 27 Mar 2023
Tradeoff of generalization error in unsupervised learning Gilhan Kim Ho-Jun Lee Junghyo Jo Yongjoo Baek 13 0 0 10 Mar 2023
Noise-cleaning the precision matrix of fMRI time series Miguel Ibánez-Berganza C. Lucibello Francesca Santucci T. Gili A. Gabrielli 24 1 0 06 Feb 2023
Galaxy Spin Classification I: Z-wise vs S-wise Spirals With Chirality Equivariant Residual Network He Jia Hong-Ming Zhu U. Pen 17 5 0 09 Oct 2022
Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method Luis Ángel Larios-Cárdenas Frédéric Gibou 3DV 17 1 0 18 Aug 2022
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 26 5 0 19 Jul 2022
Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification Abhishek Gupta Sruthi Nair Raunak Joshi V. Chitre 21 5 0 25 May 2022
On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations Barbara Z Cunha A. Zine M. Ichchou C. Droz Stéphane Foulard AI4CE 25 4 0 25 Apr 2022
On the Dynamics of Inference and Learning D. Berman J. Heckman Marc S. Klinger 19 10 0 19 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 29 84 0 13 Apr 2022
A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery Krishnadas Perikamana K. Balakrishnan Pratyush Tripathy 19 1 0 16 Dec 2021
Extending the Relative Seriality Formalism for Interpretable Deep Learning of Normal Tissue Complication Probability Models Tahir I Yusufaly MedIm 9 0 0 25 Nov 2021
A comparative study of universal quantum computing models: towards a physical unification Dong-Sheng Wang 16 16 0 17 Aug 2021
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data Natália Villa Nova Rodrigues L. Abramo Nina Sumiko Tomita Hirata 16 6 0 10 Aug 2021
Unveiling the structure of wide flat minima in neural networks Carlo Baldassi Clarissa Lauditi Enrico M. Malatesta Gabriele Perugini R. Zecchina 11 32 0 02 Jul 2021
Flow-based sampling for fermionic lattice field theories M. S. Albergo G. Kanwar S. Racanière Danilo Jimenez Rezende Julian M. Urban D. Boyda Kyle Cranmer D. Hackett P. Shanahan AI4CE 13 43 0 10 Jun 2021
A hybrid inference system for improved curvature estimation in the level-set method using machine learning Luis Ángel Larios-Cárdenas Frédéric Gibou 13 6 0 07 Apr 2021
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning Zeyuan Allen-Zhu Yuanzhi Li FedML 31 355 0 17 Dec 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 18 31 0 30 Jul 2020
Thermodynamic Machine Learning through Maximum Work Production A. B. Boyd James P. Crutchfield M. Gu AI4CE 11 16 0 27 Jun 2020
CRYSPNet: Crystal Structure Predictions via Neural Network Haotong Liang V. Stanev A. Kusne Ichiro Takeuchi 13 37 0 31 Mar 2020
Single-exposure absorption imaging of ultracold atoms using deep learning G. Ness Anastasiya Vainbaum Constantine Shkedrov Yanay Florshaim Y. Sagi 11 12 0 03 Mar 2020
A deep learning approach for the computation of curvature in the level-set method Luis Ángel Larios-Cárdenas Frédéric Gibou 11 14 0 04 Feb 2020
Learning the Ising Model with Generative Neural Networks Francesco DÁngelo Lucas Böttcher AI4CE 13 28 0 15 Jan 2020
Optimizing quantum heuristics with meta-learning M. Wilson Rachel Stromswold Filip Wudarski Stuart Hadfield N. Tubman E. Rieffel 9 74 0 08 Aug 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 27 869 0 18 Jun 2019
Thermodynamics and Feature Extraction by Machine Learning S. Funai D. Giataganas DRL AI4CE 14 34 0 18 Oct 2018
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks J. Caldeira W. L. K. Wu Brian D. Nord Camille Avestruz Shubhendu Trivedi K. Story 25 63 0 02 Oct 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 14 341 0 30 Mar 2018
First-order Methods Almost Always Avoid Saddle Points J. Lee Ioannis Panageas Georgios Piliouras Max Simchowitz Michael I. Jordan Benjamin Recht ODL 90 82 0 20 Oct 2017
Flow Navigation by Smart Microswimmers via Reinforcement Learning S. Colabrese K. Gustavsson A. Celani Luca Biferale 31 156 0 30 Jan 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016
An algorithm for the principal component analysis of large data sets N. Halko P. Martinsson Y. Shkolnisky M. Tygert 60 277 0 30 Jul 2010