A Survey of Deep Learning for Scientific Discovery

26 March 2020

Papers citing "A Survey of Deep Learning for Scientific Discovery"

23 / 23 papers shown

Title
The Representational Status of Deep Learning Models Eamon Duede 13 0 0 21 Mar 2023
Renormalization in the neural network-quantum field theory correspondence Harold Erbin Vincent Lahoche D. O. Samary 14 7 0 22 Dec 2022
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study Zhengchun Liu R. Kettimuthu Ian T. Foster MedIm 14 2 0 03 Sep 2022
Characterizing Coherent Integrated Photonic Neural Networks under Imperfections Sanmitra Banerjee Mahdi Nikdast Krishnendu Chakrabarty 22 18 0 22 Jul 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 29 28 0 19 Jul 2022
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 19 70 0 08 Jun 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 107 41 0 28 Jan 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 11 5 0 14 Jan 2022
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Taimur Hassan Bilal Hassan M. Akram Shahrukh K Hashmi A. Taguri N. Werghi OOD 29 17 0 18 Oct 2021
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning & HPC Workloads E. Georganas Dhiraj D. Kalamkar Sasikanth Avancha Menachem Adelman Deepti Aggarwal ... Ramanarayan Mohanty Hans Pabst Brian Retford Barukh Ziv A. Heinecke 16 17 0 12 Apr 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 15 79 0 17 Sep 2020
The Representation Theory of Neural Networks M. Armenta Pierre-Marc Jodoin 17 30 0 23 Jul 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics V. Ramasesh Ethan Dyer M. Raghu CLL 22 173 0 14 Jul 2020
Mapping the Landscape of Artificial Intelligence Applications against COVID-19 Joseph Aylett-Bullock A. Luccioni K. H. Pham C. Lam M. Luengo-Oroz AI4CE 29 406 0 25 Mar 2020
Exploiting Verified Neural Networks via Floating Point Numerical Error Kai Jia Martin Rinard AAML 27 34 0 06 Mar 2020
Investigating Multilingual NMT Representations at Scale Sneha Kudugunta Ankur Bapna Isaac Caswell N. Arivazhagan Orhan Firat LRM 136 120 0 05 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives Elena Voita Rico Sennrich Ivan Titov 188 181 0 03 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 162 1,766 0 02 Mar 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 23 330 0 27 Feb 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 429 15,595 0 02 Nov 2015