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This report documents the programme and the outcomes of Dagstuhl Seminar 22382 "Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling".
Dilemmas in a general theory of planning
Horst W. J. Rittel and Melvin M. Webber · 1984
Earlier work this paper cites.
Über Wirklichkeitskriterien
Michael Stadler and Peter Kruse · 1990
Earlier work this paper cites.
The ATLAS experiment at the CERN large hadron collider
The ATLAS Collaboration et al · 2008
Earlier work this paper cites.
Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate
Christian Beer, Markus Reichstein, Enrico Tomelleri, Philippe Ciais, Martin Jung, Nuno Carvalhais, Christian Rödenbeck, M. Altaf Arain, Dennis Baldocchi, Gordon B. Bonan, A. Bondeau, A. Cescatti, G. Lasslop, A. Lindroth, M. Lomas, S. Luyssaert, H. Margolis, K. W. Oleson, O. Roupsard, E. Veenendaal, N. Viovy, C. Williams, F. I. Woodward, and D. Papale · 2010
Earlier work this paper cites.
Introduction to learning and inference in computational systems biology
Neil D. Lawrence · 2010
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Results of the great08 challenge: an image analysis competition for cosmological lensing
Sarah Bridle, Sreekumar T Balan, Matthias Bethge, Marc Gentile, Stefan Harmeling, Catherine Heymans, Michael Hirsch, Reshad Hosseini, Mike Jarvis, Donnacha Kirk, et al · 2010
Earlier work this paper cites.
Linear latent force models using Gaussian processes
Mauricio A. Álvarez, David Luengo, and Neil D. Lawrence · 2013
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Build, compute, critique, repeat: Data analysis with latent variable models
David M. Blei · 2014
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Development and organization of cell types and tissues
K. V. Krishnamurthy, Bir Bahadur, S. John Adams, and Padma Venkatasubramanian · 2015
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Diffusion pseudotime robustly reconstructs lineage branching
Laleh Haghverdi, Maren Büttner, F. Alexander Wolf, Florian Buettner, and Fabian J. Theis · 2016
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How a machine learns prejudice
Jesse Emspak · 2016
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Machine learning strategies for systems with invariance properties
Julia Ling, Reese Jones, and Jeremy Templeton · 2016
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Active sciencing
Kyle Cranmer, Lukas Heinrich, Tim head, and Gilles Louppe · 2017
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Elements of Causal Inference: Foundations and Learning Algorithms
Jonas Peters, Dominik Janzing, and Bernhard Schölkopf · 2017
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Ai narratives: portrayals and perceptions of artificial intelligence and why they matter
The Royal Society · 2018
Earlier work this paper cites.
On the generalization of equivariance and convolution in neural networks to the action of compact groups
Risi Kondor and Shubhendu Trivedi · 2018
Earlier work this paper cites.
Invariant and equivariant graph networks
Haggai Maron, Heli Ben-Hamu, Nadav Shamir, and Yaron Lipman · 2018
Earlier work this paper cites.
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge
Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, and Samuel Kaski · 2018
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Predicting landscapes from environmental conditions using generative networks
Christian Requena-Mesa, Markus Reichstein, Miguel Mahecha, Basil Kraft, and Joachim Denzler · 2019
Earlier work this paper cites.
IPCC special report on the ocean and cryosphere in a changing climate
IPCC · 2019
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Reduced mosquito survival in metal-roof houses may contribute to a decline in malaria transmission in sub-saharan africa
Steve W Lindsay, Musa Jawara, Julia Mwesigwa, Jane Achan, Nabie Bayoh, John Bradley, Balla Kandeh, Matthew J. Kirby, Jakob Knudsen, Mike Macdonald, et al · 2019
Earlier work this paper cites.
Fast likelihood-free cosmology with neural density estimators and active learning
Justin Alsing, Tom Charnock, Stephen Feeney, and Benjamin Wandelt · 2019
Earlier work this paper cites.
Parameter inference for computational cognitive models with approximate bayesian computation
Antti Kangasrääsiö, Jussi PP Jokinen, Antti Oulasvirta, Andrew Howes, and Samuel Kaski · 2019
Earlier work this paper cites.
An unexpectedly large count of trees in the west african sahara and sahel
Martin Brandt, Compton J. Tucker, Ankit Kariryaa, Kjeld Rasmussen, Christin Abel, Jennifer Small, Jerome Chave, Laura Vang Rasmussen, Pierre Hiernaux, Abdoul Aziz Diouf, Laurent Kergoat, Ole Mertz, Christian Igel, Fabian Gieseke, Johannes Schöning, Sizhuo Li, Katherine Melocik, Jesse Meyer, Scott Sinno, Eric Romero, Erin Glennie, Amandine Montagu, Morgane Dendoncker, and Rasmus Fensholt · 2020
Earlier work this paper cites.
Simulating crowds in real time with agent-based modelling and a particle filter
Nicolas Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew West, and Alison Heppenstall · 2020
Cited alongside, same era.
Training deep neural density estimators to identify mechanistic models of neural dynamics
Pedro J Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Marcel Nonnenmacher, Kaan Öcal, Giacomo Bassetto, Chaitanya Chintaluri, William F Podlaski, Sara A. Haddad, Tim P. Vogels, David S. Greenberg, and Jakob H. Macke · 2020
Cited alongside, same era.
The frontier of simulation-based inference
Kyle Cranmer, Johann Brehmer, and Gilles Louppe · 2020
Cited alongside, same era.
Impact of confounding thoracic tubes and pleural dehiscence extent on artificial intelligence pneumothorax detection in chest radiographs
Johannes Rueckel, Lena Trappmann, Balthasar Schachtner, Philipp Wesp, Boj Friedrich Hoppe, Nicola Fink, Jens Ricke, Julien Dinkel, Michael Ingrisch, and Bastian Oliver Sabel · 2020
Cited alongside, same era.
Causal analysis of covid-19 spread in germany
Atalanti Mastakouri and Bernhard Schölkopf · 2020
Cited alongside, same era.
Taking the sting out of vector borne diseases
Luis Hernandez-Triana and Ssuzanna Bell · 2022
Later among the works it cites.
New research to combat malaria mosquitoes in african metropolises
Royal Danish Academy · 2022
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Strong lensing source reconstruction using continuous neural fields
Siddharth Mishra-Sharma and Ge Yang · 2022
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Machine learning and cosmology
Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord, V. Ashley Villar, Camille Avestruz, Keith Bechtol, Aleksandra Ćiprijanović, Andrew J. Connolly, Lehman H. Garrison, Gautham Narayan, and Francisco Villaescusa-Navarro · 2022
Later among the works it cites.
Crowd flow forecasting via agent-based simulations with sequential latent parameter estimation from aggregate observation
Fumiyasu Makinoshima and Yusuke Oishi · 2022
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Benchmarking atlas-level data integration in single-cell genomics
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Black-box inference for non-linear latent force models
Wil Ward, Tom Ryder, Dennis Prangle, and Mauricio Alvarez · 2020
Cited alongside, same era.
On the universality of rotation equivariant point cloud networks
Nadav Dym and Haggai Maron · 2020
Cited alongside, same era.
Forests and deforestation
H. Ritchie and M. Roser · 2021
Cited alongside, same era.
Mapping africa’s buildings with satellite imagery
John Quinn · 2021
Cited alongside, same era.
Solving schrödinger bridges via maximum likelihood
Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, and Neil D. Lawrence · 2021
Cited alongside, same era.
Non-canonical Wnt/PCP signalling regulates intestinal stem cell lineage priming towards enteroendocrine and paneth cell fates
Anika Böttcher, Maren Büttner, Sophie Tritschler, Michael Sterr, Alexandra Aliluev, Lena Oppenländer, Ingo Burtscher, Steffen Sass, Martin Irmler, Johannes Beckers, Christoph Ziegenhain, Wolfgang Enard, Andrea C. Schamberger, Fien M. Verhamme, Oliver Eickelberg, Fabian J. Theis, and Heiko Lickert · 2021
Cited alongside, same era.
A trust crisis in simulation-based inference? your posterior approximations can be unfaithful
Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, and Gilles Louppe · 2021
Cited alongside, same era.
Malte D. Luecken, Maren Büttner, Kridsadakorn Chaichoompu, Anna Danese, Marta Interlandi, Michaela F. Müller, Daniel C Strobl, Luke Zappia, Martin Dugas, Maria Colomé-Tatché, and Fabian J. Theis · 2022
Later among the works it cites.
Probabilistic Numerics: Computation as Machine Learning
Philipp Hennig, Michael A. Osborne, and Hans P. Kersting · 2022
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Flexible and efficient simulation-based inference for models of decision-making
Jan Boelts, Jan-Matthis Lueckmann, Richard Gao, and Jakob H. Macke · 2022
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Inferring dark matter substructure with astrometric lensing beyond the power spectrum
Siddharth Mishra-Sharma · 2022
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Towards reliable simulation-based inference with balanced neural ratio estimation
Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, and Gilles Louppe · 2022
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Robust hybrid learning with expert augmentation
Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, and Jörn-Henrik Jacobsen · 2022
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Investigating the impact of model misspecification in neural simulation-based inference
Patrick Cannon, Daniel Ward, and Sebastian M. Schmon · 2022
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Destination Earth – new digital twin of the Earth will help tackle climate change and protect nature
European Commission · 2022
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Causality for machine learning
Bernhard Schölkopf · 2022
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Causal de Finetti: On the identification of invariant causal structure in exchangeable data
Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, and Ferenc Huszár · 2022
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Stochastic causal programming for bounding treatment effects
Kirtan Padh, Jakob Zeitler, David Watson, Matt Kusner, Ricardo Silva, and Niki Kilbertus · 2022
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Distributional robustness of k-class estimators and the pulse
Martin Emil Jakobsen and Jonas Peters · 2022
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Challenges in deploying machine learning: a survey of case studies
Andrei Paleyes, Raoul-Gabriel Urma, and Neil D. Lawrence · 2022
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Virtual laboratories: Transforming research with ai
Arto Klami, Theodoros Damoulas, Ola Engkvist, Patrick Rinke, and Samuel Kaski · 2022
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Best-response bayesian reinforcement learning with bayes-adaptive pomdps for centaurs
Mustafa Mert Çelikok, Frans A. Oliehoek, and Samuel Kaski · 2022
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Dimensionless machine learning: Imposing exact units equivariance
Soledad Villar, Weichi Yao, David W Hogg, Ben Blum-Smith, and Bianca Dumitrascu · 2022
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Schmidt futures launches $148m global initiative to accelerate ai use in postdoctoral research
Schmidt Futures · 2022
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Allometric equations to estimate the dry mass of sahel woody plants mapped with very-high resolution satellite imagery
Pierre Hiernaux, Hassane Bil-Assanou Issoufou, Christian Igel, Ankit Kariryaa, Moussa Kourouma, Jérôme Chave, Eric Mougin, and Patrice Savadogo · 2023
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Dark energy, dark matter
NASA · 2023
Closest in time.