#ml4science search results
New Special Issue in Flow, Turbulence and Combustion! 🚀 “Machine Learning for Fluids” from PINNs & operator learning to flow control with RL (check our DRL papers there!!). Editorial w/ Paola Cinnella: doi.org/10.1007/s10494… #ML4Science #FluidDynamics
How can we efficiently learn ML potentials for atomistic systems with few and expensive reference data? Here we explored a transfer learning approach via a combination of pre-trained graph neural networks & kernel ridge regression openreview.net/forum?id=Enzew… #NeurIPS2023 #ML4science
AI is becoming the co-pilot of scientific discovery faster than we think. From labs to space, it’s reshaping research as a true collaborator. If you're in tech, academia, or policy, now’s the time to lean in. #FutureOfResearch #ML4Science #DeepTech #ClimateAI #SpaceExploration
🚨Our paper ”Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence” received a spotlight at #ICML2024!🎉 Thank you @schaschaxu, @drjilles and Janis for this incredible collaboration. #ML4Science #interpretability #neurosymbolic 🧵1/7 openreview.net/forum?id=AG45X…
Ready to start with #CEBRA for your behavioral clustering, neural data, or joint-modeling? Check out our new demo notebook to help you learn the best practices and how to develop models! cebra.ai/docs/demo_note… 🌈🦓 #ML4Science
I’m usually not good at celebrating my wins, but I’m really proud of myself for publishing my first first-author paper! If you’re working in #ML4Science or #polymerinformatics, please check it out! Augmenting Polymer Datasets by Iterative Rearrangement pubs.acs.org/doi/abs/10.102…
#ML4Science 2023 📍Kodaikanal, @iiit_hyderabad , @TIFRScience. Second day and already overwhelmed by the application of ML for fundamental science. Let's use the Normalizing flow models for drug design. sites.google.com/view/ml4sci/ho…, CInC Flow.
Hybrid Models for Neural PDE Solving & SciML Simulations 🔥 by @ask1729 #ICML2024 #ML4Science #ML4PDEs
📢#AI4Science Talk tomorrow at 15:00 (CEST) / 09:00 EDT / 08:00 CDT on "Clifford-Steerable #ConvNets" by @maxxxzdn. If you're working on #ML4Science & #NeuralOperators, please join us on Zoom. Details @ ai4sciencetalks.github.io/projects/cliff… #AI4Science #PDE #CNNs #NeuralNetworks #Equivariance
📢#AI4Science Talk on Monday at 15:00 (CEST) / 09:00 EDT / 08:00 CDT on "Poseidon: Efficient Foundation Models for #PDEs". If you're working on #ML4Science & #NeuralOperators, please join us on Zoom. Details @ ai4sciencetalks.github.io/projects/posei… #AI4Science #PDE #FoundationModel #NeuralNets
We are looking for someone with skills in the areas of #Reinforcementlearning #ML4science #Bayesianoptimization #Foundationalmodels for #decisionmaking #RealworldML
Really excited for PhilML3: Philosophy of Science meets Machine Learning, starting this Tuesday, September 12. #ml4science #philml2023 sites.google.com/view/philml-tu…
📢 #ICLR2024 AI for Differential Equations in Science workshop is happening now! Have a look at the schedule and join for the session if you're at #ICLR2024 in Wien or on Zoom. Schedule: ai4diffeqtnsinsci.github.io/schedule #ML4Science #AI4Science #PartialDifferentialEquations #NeuralNets
Want to stay up-to-date with exciting #ml4science #ai4science research happening in our lab? Come have a look at @mackelab.bsky.social :).
A new line of research towards developing algorithms & methods that enable neural operators to achieve generalization over desiderata such as PDE parameters, ICs, BCs, Geometries, Resolutions, etc. #NeuralOperators #ML4Science #PDEs #NumericalSolvers #ActiveLearning #AI4Science
📢#AI4Science Talk today at 15:00 (CEST) / 09:00 (EDT) / 08:00 (CDT) on "SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations". If you're interested, join on Zoom. Details: ai4sciencetalks.github.io/projects/sinen… #NeuralNets #ML4Science #ML4PDEs #UNets #SineNet
#ML4Science and #ML4Simulations related workshops @ #ICML2024 today: Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators (differentiable.xyz) AI for Science: Scaling in AI for Scientific Discovery (ai4sciencecommunity.github.io/icml24.html)
Where are you Physicists interested in ML/DL? #AI4Science #ML4Science #neuralnetworks #physics
A Ph.D. position "ML for the Physical Sciences" is available in our group. Students with a Master's degree in CS, physics, or engineering please apply. We are associated with IMPRS-IS, ELLIS, and a cluster of excellence in the simulation sciences. stellenwerk.de/stuttgart/jobb…
New Special Issue in Flow, Turbulence and Combustion! 🚀 “Machine Learning for Fluids” from PINNs & operator learning to flow control with RL (check our DRL papers there!!). Editorial w/ Paola Cinnella: doi.org/10.1007/s10494… #ML4Science #FluidDynamics
Ready to start with #CEBRA for your behavioral clustering, neural data, or joint-modeling? Check out our new demo notebook to help you learn the best practices and how to develop models! cebra.ai/docs/demo_note… 🌈🦓 #ML4Science
Want to stay up-to-date with exciting #ml4science #ai4science research happening in our lab? Come have a look at @mackelab.bsky.social :).
A propos: Inspired to do a PhD or Postdoc in #ML4Science/#AI4Science? We have multiple openings to work ML and AI tools for scientific discovery, in neuroscience and beyond! Full details: mackelab.org/media/Ad_Macke… Students: Apply by Nov 15, directly to IMPRS-IS or @ELLISforEurope
Researching #AI #MachineLearning #Robotics #HCI? Join our elite doctoral program - a partnership with MPI-IS, @uni_stuttgart & @uni_tue! Applications accepted until Nov 15, 2024 at imprs.is.mpg.de/application
A new line of research towards developing algorithms & methods that enable neural operators to achieve generalization over desiderata such as PDE parameters, ICs, BCs, Geometries, Resolutions, etc. #NeuralOperators #ML4Science #PDEs #NumericalSolvers #ActiveLearning #AI4Science
Very passionate AI cautionista viewpoint about #ML4Science just publishing @JCIM_JCTC #compchem
Artificial Intelligence Must Be Made More Scientific pubs.acs.org/doi/full/10.10… By @PVCoveney and yours truly - nice to see it’s an @AmerChemSociety Editors' Choice Article
Hybrid Models for Neural PDE Solving & SciML Simulations 🔥 by @ask1729 #ICML2024 #ML4Science #ML4PDEs
#ML4Science and #ML4Simulations related workshops @ #ICML2024 today: Machine Learning for Life and Material Science: From Theory to Industry applications (ml4lms.bio)
#ML4Science and #ML4Simulations related workshops @ #ICML2024 today: Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators (differentiable.xyz) AI for Science: Scaling in AI for Scientific Discovery (ai4sciencecommunity.github.io/icml24.html)
We are looking for someone with skills in the areas of #Reinforcementlearning #ML4science #Bayesianoptimization #Foundationalmodels for #decisionmaking #RealworldML
📢#AI4Science Talk tomorrow at 15:00 (CEST) / 09:00 EDT / 08:00 CDT on "Clifford-Steerable #ConvNets" by @maxxxzdn. If you're working on #ML4Science & #NeuralOperators, please join us on Zoom. Details @ ai4sciencetalks.github.io/projects/cliff… #AI4Science #PDE #CNNs #NeuralNetworks #Equivariance
📢#AI4Science Talk on Monday at 15:00 (CEST) / 09:00 EDT / 08:00 CDT on "Poseidon: Efficient Foundation Models for #PDEs". If you're working on #ML4Science & #NeuralOperators, please join us on Zoom. Details @ ai4sciencetalks.github.io/projects/posei… #AI4Science #PDE #FoundationModel #NeuralNets
🚨Our paper ”Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence” received a spotlight at #ICML2024!🎉 Thank you @schaschaxu, @drjilles and Janis for this incredible collaboration. #ML4Science #interpretability #neurosymbolic 🧵1/7 openreview.net/forum?id=AG45X…
📢#AI4Science Talk today at 15:00 (CEST) / 09:00 (EDT) / 08:00 (CDT) on "SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations". If you're interested, join on Zoom. Details: ai4sciencetalks.github.io/projects/sinen… #NeuralNets #ML4Science #ML4PDEs #UNets #SineNet
📢 #ICLR2024 AI for Differential Equations in Science workshop is happening now! Have a look at the schedule and join for the session if you're at #ICLR2024 in Wien or on Zoom. Schedule: ai4diffeqtnsinsci.github.io/schedule #ML4Science #AI4Science #PartialDifferentialEquations #NeuralNets
New Special Issue in Flow, Turbulence and Combustion! 🚀 “Machine Learning for Fluids” from PINNs & operator learning to flow control with RL (check our DRL papers there!!). Editorial w/ Paola Cinnella: doi.org/10.1007/s10494… #ML4Science #FluidDynamics
@IHUB_Data invites applications for Young Researcher Program in ML for science. Join our group to contribute to datasets ,ML algorithms and applied research in AI. @iiit_hyderabad #ihub_data #ml4science #drugdiscovery #drugdesign
ML4Science Research Café launches a “seminar & discussion” series beginning with the talk about “Chemical Space Exploration” by Prof. @janhjensen on 19th Nov,2021 from 4:30pm IST. Register to participate : ml4science.iiit.ac.in/ml4scienceCafe/ #ihub_data #iiith #ML4Science #seminars
An enlightening session with Prof. @janhjensen from Dept. of Chemistry, University of Copenhagen at the #ML4Science Research Café inaugural seminar. @ArnabPune @AnoopLab @ParthaRamakrish @GhoshDebashree1 @namusite @giribio @kollisarath @deva_priyakumar #compchem #ihub_data
🚨Our paper ”Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence” received a spotlight at #ICML2024!🎉 Thank you @schaschaxu, @drjilles and Janis for this incredible collaboration. #ML4Science #interpretability #neurosymbolic 🧵1/7 openreview.net/forum?id=AG45X…
“Machine Learning for Chemistry and Drug Design - Learning by Doing”. Join and learn from @deva_priyakumar @charusharma1991 @girishvarma.. and others for 12 weeks. More details ihub-data.iiit.ac.in/ml4chem/ #compchem #ml4science #drugdesign @NmIcps @iiit_hyderabad #ihub_data
Another excellent #ML4Science talk yesterday from @carrasqu You can see it again at: youtube.com/c/ML4Science/
How can we efficiently learn ML potentials for atomistic systems with few and expensive reference data? Here we explored a transfer learning approach via a combination of pre-trained graph neural networks & kernel ridge regression openreview.net/forum?id=Enzew… #NeurIPS2023 #ML4science
outstanding talk by @Tiana_Athriel on algorithmic interpretability in #ML with an encouraging prediction that astronomers will still be needed because of their do since knowledge and a prescription: make your models simple, critique them, and share them! #ML4SCIENCE #MMA @UCBIDS
Looking for a job in #MachineLearning? We hear that our friends @ml4science still have some open spots. Go check it out: uni-tuebingen.de/en/research/co… #ml4science #CyberValley #AI @uni_tue
#ML4Science 2023 📍Kodaikanal, @iiit_hyderabad , @TIFRScience. Second day and already overwhelmed by the application of ML for fundamental science. Let's use the Normalizing flow models for drug design. sites.google.com/view/ml4sci/ho…, CInC Flow.
Hybrid Models for Neural PDE Solving & SciML Simulations 🔥 by @ask1729 #ICML2024 #ML4Science #ML4PDEs
Great #ML4Science talk today from @itamblyn on "Keep it simple - Understanding the capabilities and limitations of modern AI for Science". Available on line at: youtube.com/channel/UCq2m6…
Great #ML4Science talk today from GianMarco Rignanese @UCLouvain_ADRE Interesting discussion on how to extract the most from a few data. See it again at: youtube.com/channel/UCq2m6…
Great and provocative #ML4Science talk yesterday from Kieron Burke @UCIrvine, now available on Youtube youtube.com/channel/UCq2m6… Next talk in the series from @itamblyn on Wednesday the 6th "Keep it simple - Understanding the capabilities and limitations of modern AI for Science"
AI is becoming the co-pilot of scientific discovery faster than we think. From labs to space, it’s reshaping research as a true collaborator. If you're in tech, academia, or policy, now’s the time to lean in. #FutureOfResearch #ML4Science #DeepTech #ClimateAI #SpaceExploration
Great #ML4Science talk today from @KulikGroup It is now available at: youtube.com/watch?v=GkYXqf… Check out our Youtube channel (note the new personalised URL): youtube.com/c/ML4Science/
Great #ML4Science seminar yesterday from @MIT Rafael Bombarelli. Apologies for the technical glitches, they have been fixed now. You can see the seminar at: youtube.com/watch?v=kKbPIe… All seminars are available: youtube.com/c/ML4Science/
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