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  3. 2003.11755
  4. Cited By
A Survey of Deep Learning for Scientific Discovery

A Survey of Deep Learning for Scientific Discovery

26 March 2020
M. Raghu
Erica Schmidt
    OODAI4CE
ArXiv (abs)PDFHTML

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

50 / 50 papers shown
When is a System Discoverable from Data? Discovery Requires Chaos
When is a System Discoverable from Data? Discovery Requires Chaos
Zakhar Shumaylov
Peter Zaika
Philipp Scholl
Gitta Kutyniok
Lior Horesh
Carola-Bibiane Schönlieb
244
7
0
12 Nov 2025
Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
Yanbo Zhang
S. Khan
Adnan Mahmud
Huck Yang
Alexander Lavin
...
James A. Evans
Alan R. Bundy
Jannis Brugger
Jesper Tegner
Hector Zenil
LM&MA
481
8
0
22 May 2025
LDC: Learning to Generate Research Idea with Dynamic Control
LDC: Learning to Generate Research Idea with Dynamic Control
Ruochen Li
Liqiang Jing
Chi Han
Jiawei Zhou
Xinya Du
LRM
405
13
0
19 Dec 2024
Applications of Explainable artificial intelligence in Earth system
  science
Applications of Explainable artificial intelligence in Earth system science
Feini Huang
Shijie Jiang
Lu Li
Yongkun Zhang
Ye Zhang
Ruqing Zhang
Qingliang Li
Danxi Li
Wei Shangguan
Yongjiu Dai
285
8
0
12 Jun 2024
Marrying Causal Representation Learning with Dynamical Systems for Science
Marrying Causal Representation Learning with Dynamical Systems for Science
Dingling Yao
Caroline Muller
Francesco Locatello
CMLAI4CE
553
22
0
22 May 2024
Operator Learning: Algorithms and Analysis
Operator Learning: Algorithms and Analysis
Nikola B. Kovachki
S. Lanthaler
Andrew M. Stuart
570
82
0
24 Feb 2024
The Future of Fundamental Science Led by Generative Closed-Loop
  Artificial Intelligence
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
Hector Zenil
Jesper N. Tegnér
Felipe S. Abrahão
Alexander Lavin
Vipin Kumar
...
Carla P. Gomes
J. Rowe
James A. Evans
H. Kitano
Ross D. King
AI4CE
289
22
0
09 Jul 2023
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor
  Abstractions on CPU Architectures
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU ArchitecturesIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023
E. Georganas
Dhiraj D. Kalamkar
K. Voronin
Abhisek Kundu
Antonio Noack
Hans Pabst
Alexander Breuer
A. Heinecke
270
6
0
25 Apr 2023
The Representational Status of Deep Learning Models
The Representational Status of Deep Learning Models
Eamon Duede
451
4
0
21 Mar 2023
Multimodal Explainability via Latent Shift applied to COVID-19
  stratification
Multimodal Explainability via Latent Shift applied to COVID-19 stratificationPattern Recognition (Pattern Recogn.), 2022
V. Guarrasi
L. Tronchin
Domenico Albano
E. Faiella
Deborah Fazzini
D. Santucci
Paolo Soda
337
34
0
28 Dec 2022
Renormalization in the neural network-quantum field theory
  correspondence
Renormalization in the neural network-quantum field theory correspondence
Harold Erbin
Vincent Lahoche
D. O. Samary
289
9
0
22 Dec 2022
A robust estimator of mutual information for deep learning
  interpretability
A robust estimator of mutual information for deep learning interpretability
Davide Piras
H. Peiris
A. Pontzen
Luisa Lucie-Smith
Ningyuan Guo
Brian D. Nord
SSLDRL
390
24
0
31 Oct 2022
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography
  Reconstruction: a Preliminary Study
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study
Zhengchun Liu
R. Kettimuthu
Ian Foster
MedIm
323
6
0
03 Sep 2022
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
Domenic Bersch
Kshitij Dwivedi
Martina G. Vilas
Radoslaw Martin Cichy
Gemma Roig
304
9
0
20 Aug 2022
Characterizing Coherent Integrated Photonic Neural Networks under
  Imperfections
Characterizing Coherent Integrated Photonic Neural Networks under ImperfectionsJournal of Lightwave Technology (JLT), 2022
Sanmitra Banerjee
Mahdi Nikdast
Krishnendu Chakrabarty
328
24
0
22 Jul 2022
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A ReviewACM Computing Surveys (ACM CSUR), 2022
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Bo Pan
798
42
0
19 Jul 2022
Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input
  UNet
Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input UNet
Bibin Wilson
Rajiv Kumar
Narayanarao Bhogapurapu
Anand P. Singh
A. Sethi
128
1
0
05 Jul 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
434
105
0
08 Jun 2022
Benchmarking of Deep Learning models on 2D Laminar Flow behind Cylinder
Benchmarking of Deep Learning models on 2D Laminar Flow behind Cylinder
Mritunjay Musale
Vaibhav Vasani
AI4CE
228
0
0
26 May 2022
Visualizing and Explaining Language Models
Visualizing and Explaining Language Models
Adrian M. P. Braşoveanu
Razvan Andonie
MILMVLM
393
7
0
30 Apr 2022
AI Research Associate for Early-Stage Scientific Discovery
AI Research Associate for Early-Stage Scientific Discovery
M. Behandish
J. Maxwell
Johan de Kleer
AI4CE
171
1
0
02 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's
  Progressive Matrices
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive MatricesACM Computing Surveys (ACM CSUR), 2022
Mikolaj Malkiñski
Jacek Mańdziuk
549
56
0
28 Jan 2022
When less is more: Simplifying inputs aids neural network understanding
When less is more: Simplifying inputs aids neural network understanding
R. Schirrmeister
Rosanne Liu
Sara Hooker
T. Ball
486
6
0
14 Jan 2022
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via
  Bayesian Deep Learning
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Taimur Hassan
Bilal Hassan
M. Akram
Shahrukh K Hashmi
A. Taguri
Naoufel Werghi
OOD
298
23
0
18 Oct 2021
Accenture at CheckThat! 2021: Interesting claim identification and
  ranking with contextually sensitive lexical training data augmentation
Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation
Evan Williams
Paul Rodrigues
Sieu Tran
399
22
0
12 Jul 2021
Transparent Model of Unabridged Data (TMUD)
Transparent Model of Unabridged Data (TMUD)
Jie Xu
Min Ding
128
0
0
23 May 2021
Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud
  Detection
Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud Detection
S. Afanasiev
A. Smirnova
D. Kotereva
341
2
0
17 May 2021
Livewired Neural Networks: Making Neurons That Fire Together Wire
  Together
Livewired Neural Networks: Making Neurons That Fire Together Wire Together
Thomas Schumacher
257
4
0
17 May 2021
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural NetsIEEE Access (IEEE Access), 2021
Gargi Joshi
Rahee Walambe
K. Kotecha
524
183
0
17 May 2021
Tensor Processing Primitives: A Programming Abstraction for Efficiency
  and Portability in Deep Learning & HPC Workloads
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning & HPC WorkloadsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021
E. Georganas
Dhiraj D. Kalamkar
Sasikanth Avancha
Menachem Adelman
Deepti Aggarwal
...
Ramanarayan Mohanty
Hans Pabst
Brian Retford
Barukh Ziv
A. Heinecke
460
22
0
12 Apr 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from
  Observation
DEALIO: Data-Efficient Adversarial Learning for Imitation from ObservationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
F. Torabi
Garrett A. Warnell
Yufei Xu
338
38
0
31 Mar 2021
Toward Building Science Discovery Machines
Toward Building Science Discovery Machines
A. Khalili
A. Bouchachia
AI4CE
439
1
0
24 Mar 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
472
135
0
03 Dec 2020
Leveraging Uncertainty from Deep Learning for Trustworthy Materials
  Discovery Workflows
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery WorkflowsACS Omega (ACS Omega), 2020
Jize Zhang
B. Kailkhura
T. Y. Han
OOD
229
24
0
02 Dec 2020
Deep Learning -- A first Meta-Survey of selected Reviews across
  Scientific Disciplines, their Commonalities, Challenges and Research Impact
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research ImpactPeerJ Computer Science (PeerJ Comput. Sci.), 2020
Jan Egger
Antonio Pepe
Christina Schwarz-Gsaxner
Yuan Jin
Jianning Li
Roman Kern
OODVLMAI4CE
368
35
0
16 Nov 2020
Augmenting Organizational Decision-Making with Deep Learning Algorithms:
  Principles, Promises, and Challenges
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and ChallengesJournal of business research (JBR), 2020
Yash Raj Shrestha
Vaibhav Krishna
G. Krogh
408
222
0
02 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
1.1K
95
0
17 Sep 2020
The Representation Theory of Neural Networks
The Representation Theory of Neural Networks
M. Armenta
Pierre-Marc Jodoin
383
35
0
23 Jul 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task
  Semantics
Anatomy of Catastrophic Forgetting: Hidden Representations and Task SemanticsInternational Conference on Learning Representations (ICLR), 2020
V. Ramasesh
Ethan Dyer
M. Raghu
CLL
407
204
0
14 Jul 2020
Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study
  of an Orienteering Race
Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race
J. Paakkonen
98
0
0
14 Jul 2020
Sparse Symplectically Integrated Neural Networks
Sparse Symplectically Integrated Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Daniel M. DiPietro
S. Xiong
Bo Zhu
259
34
0
10 Jun 2020
Using Machine Learning to Emulate Agent-Based Simulations
Using Machine Learning to Emulate Agent-Based Simulations
C. Angione
E. Silverman
E. Yaneske
281
6
0
05 May 2020
Mapping the Landscape of Artificial Intelligence Applications against
  COVID-19
Mapping the Landscape of Artificial Intelligence Applications against COVID-19Journal of Artificial Intelligence Research (JAIR), 2020
Joseph Aylett-Bullock
A. Luccioni
K. H. Pham
C. Lam
M. Luengo-Oroz
AI4CE
413
411
0
25 Mar 2020
Exploiting Verified Neural Networks via Floating Point Numerical Error
Exploiting Verified Neural Networks via Floating Point Numerical ErrorSensors Applications Symposium (SA), 2020
Kai Jia
Martin Rinard
AAML
405
50
0
06 Mar 2020
Single-exposure absorption imaging of ultracold atoms using deep
  learning
Single-exposure absorption imaging of ultracold atoms using deep learning
G. Ness
Anastasiya Vainbaum
Constantine Shkedrov
Yanay Florshaim
Y. Sagi
231
17
0
03 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.6K
1,141
0
02 Mar 2020
ClusterFit: Improving Generalization of Visual Representations
ClusterFit: Improving Generalization of Visual RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSLVLM
389
139
0
06 Dec 2019
Generalizable prediction of academic performance from short texts on
  social media
Generalizable prediction of academic performance from short texts on social mediaEPJ Data Science (EPJ Data Sci), 2019
Ivan Smirnov
301
9
0
01 Dec 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for
  Investigating Learned Representations
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned RepresentationsInternational Conference on Image Analysis and Processing (ICIAP), 2019
J. Livezey
Ahyeon Hwang
Jacob Yeung
K. Bouchard
329
0
0
23 May 2019
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
660
343
0
27 Feb 2017
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