Intelligence in animals, humans and machines: a heliocentric view of intelligence?

2024/04/29

Soumya Banerjee,

Halfdan Holm,

AI & Society (2024)

DOI: 10.1007/s00146-024-01931-1

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Enhancing Patient Stratification and Interpretability Through Class-Contrastive and Feature Attribution Techniques

2024/03/25

Soumya Banerjee,

Neil D. Lawrence,

Sharday Olowu,

medrXiv (2024)

DOI: 10.1101/2024.03.25.24304824

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Physical Yukawa Couplings in Heterotic String Compactifications

2024/01/26

Justin Tan,

Challenger Mishra,

G Butbaia,

D Mayorga Peña,

P Berglund,

T Hübsch,

V Jejjala,

arXiv (2024)

DOI: 10.48550/arXiv.2401.15078

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Neural networks for abstraction and reasoning: Towards broad generalization in machines

2024/02/05

Soumya Banerjee,

M Bober-Irizar,

arXiv (2024)

DOI: 10.48550/arXiv.2402.03507

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Generating complex explanations for artificial intelligence models: an application to clinical data on severe mental illness

2024/01/10

Soumya Banerjee,

medRxiv (2024)

DOI: https://www.medrxiv.org/content/10.1101/2024.01.09.24300944v1

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Predicting ruthenium catalysed hydrogenation of esters using machine learning

2023/11/20

Challenger Mishra,

Neil D. Lawrence,

Aditya Ravuri,

N. von Wolff,

A. Tripathi,

C.N. Brodie,

E. Bremond,

A. Preiss,

A. Kumar,

Digital Discovery (2023)

DOI: /10.1039/D3DD00029J

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Involving patients in artificial intelligence research to build trustworthy systems

2023/11/16

Soumya Banerjee,

S. Griffiths,

AI & Society (2023)

DOI: 10.1007/s00146-023-01745-7

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Mathematical conjecture generation using machine intelligence

2023/11/16

Challenger Mishra,

S.R. Moulik,

R. Sarkar,

(2023)

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Ice Core Dating using Probabilistic Programming

2023/11/13

Aditya Ravuri,

Neil D. Lawrence,

T.R. Andersson,

I. Kazlauskaite,

W. Tebbutt,

R.E. Turner,

J.S. Hosking,

M. Kaiser,

(2023)

DOI: 10.48550/arXiv.2210.16568

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Dimensionality Reduction as Probabilistic Inference

2023/11/10

Aditya Ravuri,

Neil D. Lawrence,

F. Vargas,

V. Lalchand,

(2023)

DOI: 10.48550/arXiv.2304.07658

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Robust estimation of cortical similarity networks from brain MRI

2023/07/17

Isaac Sebenius,

Sarah Morgan,

Jakob Seidlitz,

Varun Warrier,

Richard AI Bethlehem,

Aaron Alexander-Bloch,

Travis T Mallard,

Rafael Romero Garcia,

Edward T Bullmore,

Nature Neuroscience (2023)

DOI: 10.1038/s41593-023-01376-7

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dsSurvival 2.0: privacy enhancing survival curves for survival models in the federated DataSHIELD analysis system

2023/06/06

Soumya Banerjee,

Tom RP Bishop,

BMC Res Notes (2023)

DOI: 10.1186/s13104-023-06372-5

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Machine Learning for Optical Motion Capture-Driven Musculoskeletal Modelling from Inertial Motion Capture Data

2023/04/24

Challenger Mishra,

Abhishek Dasgupta,

Rahul Sharma,

Vikranth H Nagaraja,

Bioengineering (2023) 510

DOI: 10.3390/bioengineering10050510

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Semantic Speech Networks Linked to Formal Thought Disorder in Early Psychosis

2023/03/22

Sarah Morgan,

Caroline Nettekoven,

Kelly Diederen,

Oscar Giles,

Helen Duncan,

Iain Stenson,

Julianna Olah,

Toni Gibbs-Dean,

Nigel Collier,

Petra E Vértes,

Tom J Spencer,

Philip McGuire,

Schizophrenia Bulletin (2023) S142–S152

DOI: 10.1093/schbul/sbac056

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AI for Science: An Emerging Agenda

2023/03/07

Neil D. Lawrence,

Jess Montgomery,

Philipp Berens,

Kyle Cranmer,

Ulrike von Luxburg,

arXiv (2023)

DOI: 10.48550/arXiv.2303.04217

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Bayesian learning via neural Schrödinger–Föllmer flows

2022/11/23

Neil D. Lawrence,

Francisco Vargas,

Andrius Ovsianas,

David Fernandes,

Mark Girolami,

Nikolas Nüsken,

Statistics and Computing (2022)

DOI: 10.1007/s11222-022-10172-5

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Software Application Profile: ShinyDataSHIELD—an R Shiny application to perform federated non-disclosive data analysis in multicohort studies

2022/10/27

Soumya Banerjee,

Xavier Escribà-Montagut,

Yannick Marcon,

Demetris Avraam,

Tom R P Bishop,

Paul Burton,

Juan R González,

International Journal of Epidemiology (2022)

DOI: https://doi.org/10.1093/ije/dyac201

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Machine Learning for Musculoskeletal Modeling of Upper Extremity

2022/10/01

Challenger Mishra,

Rahul Sharma,

Abhishek Dasgupta,

Runbei Cheng,

Vikranth H. Nagaraja,

,

IEEE (2022) 18684-18697

DOI: 10.1109/JSEN.2022.3197461.

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Neural network approximations for Calabi-Yau metrics

2022/08/08

Challenger Mishra,

Vishnu Jejjala,

Damián Kaloni Mayorga Peña,

Journal of High Energy Physics (2022)

DOI: https://doi.org/10.1007/JHEP08(2022)105

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Natural Language Processing markers in First Episode Psychosis and People at Clinical High-risk

2021/12/13

Sarah E. Morgan,

Kelly Diederen,

Petra E. Vértes,

Samantha H. Y. Ip,

Bo Wang,

Bethany Thompson,

Arsime Demjaha,

Andrea Micheli,

Dominic Oliver,

Maria Liakata,

Paolo Fusar-Poli,

Tom J. Spencer,

Philip McGuire,

Translational Psychiatry (2021)

DOI: 10.1038/s41398-021-01722-y

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Multimodal Graph Coarsening for Interpretable, MRI-Based Brain Graph Neural Network

2021/10/25

Isaac Sebenius,

Alexander Campbell,

Sarah E. Morgan,

Edward T. Bullmore,

Pietro Liò,

(2021)

DOI: 10.1109/MLSP52302.2021.9690626

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Phase Behaviours of Superionic Water at Planetary Conditions

2021/09/23

Bingqing Cheng,

Mandy Bethkenhagen,

Chris J. Pickard,

Sebastien Hamel,

Nature Physics (2021) 1228--1232

DOI: 10.1038/s41567-021-01334-9

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Deep learning for Bioimage Analysis in Developmental Biology

2021/09/07

Adrien Hallou,

Hannah G. Yevick,

Bianca Dumitrascu,

Virginie Uhlmann,

Development (2021) dev199616

DOI: 10.1242/dev.199616

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Solving Schrödinger Bridges via Maximum Likelihood

2021/08/31

Neil D. Lawrence,

Austen Lamacraft,

Entropy (2021) 1134

DOI: 10.3390/e23091134

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Ranking the Information Content of Distance Measures

2021/04/30

Aldo Glielmo,

Claudio Zeni,

Bingqing Cheng,

Gabor Csanyi,

Alessandro Laio,

(2021)

DOI: 10.48550/ARXIV.2104.15079

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Optimal marker gene selection for cell type discrimination in single cell analyses

2021/02/19

Bianca Dumitrascu,

Soledad Villar,

Dustin G. Mixon,

Barbara Englehardt,

Nature Communications (2021)

DOI: 10.1038/s41467-021-21453-4

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Quantum-Mechanical Exploration of the Phase Diagram of Water

2021/01/26

Aleks Reinhardt,

Bingqing Cheng,

Nature Communications (2021)

DOI: 10.1038/s41467-020-20821-w

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Gaussian Process Latent Variable Flows for Massively Missing Data

2021/01/15

Aditya Ravuri,

Neil D. Lawrence,

Vidhi Lalchand,

(2021)

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Liquid Water Contains the Building Blocks of Diverse Ice Phases

2020/11/13

Bartomeu Monserrat,

Jan Gerit Brandenburg,

Edgar A. Engel,

Bingqing Cheng,

Nature Communications (2020) 2041-1723

DOI: 10.1038/s41467-020-19606-y

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