#ml4science 搜索结果
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…
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…
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
📢#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
Hybrid Models for Neural PDE Solving & SciML Simulations 🔥 by @ask1729 #ICML2024 #ML4Science #ML4PDEs
#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.
📢 #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
Really excited for PhilML3: Philosophy of Science meets Machine Learning, starting this Tuesday, September 12. #ml4science #philml2023 sites.google.com/view/philml-tu…
#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)
📢#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
We are looking for someone with skills in the areas of #Reinforcementlearning #ML4science #Bayesianoptimization #Foundationalmodels for #decisionmaking #RealworldML
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
pubs.acs.org
Artificial Intelligence Must Be Made More Scientific
The role of AI within science is growing. Here we assess its impact on research and argue that AI often lacks reproducibility, transparency, objectivity, and mechanistic understanding. To ensure AI...
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 on 16.01.24 at 15:00 (CET) / 09:00 (ET) on “Operator Learning with Neural Fields for Partial Differential Equations” by Louis Serrano. Please join us on Zoom if you're interested! Details: ai4sciencetalks.github.io/projects/coral… #ML4science #AI4Science #Simulations #PDEs
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
pubs.acs.org
Artificial Intelligence Must Be Made More Scientific
The role of AI within science is growing. Here we assess its impact on research and argue that AI often lacks reproducibility, transparency, objectivity, and mechanistic understanding. To ensure AI...
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
@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
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
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
🚨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…
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
“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
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
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
Hybrid Models for Neural PDE Solving & SciML Simulations 🔥 by @ask1729 #ICML2024 #ML4Science #ML4PDEs
#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.
📢#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
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
📢#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
Something went wrong.
Something went wrong.
United States Trends
- 1. Epstein 784K posts
- 2. Steam Machine 39.7K posts
- 3. Bradley Beal 3,882 posts
- 4. Virginia Giuffre 45.2K posts
- 5. Boebert 30.4K posts
- 6. Valve 27.8K posts
- 7. Xbox 63.2K posts
- 8. Jake Paul 3,127 posts
- 9. Rep. Adelita Grijalva 13K posts
- 10. Anthony Joshua 2,304 posts
- 11. Clinton 105K posts
- 12. Scott Boras N/A
- 13. GabeCube 2,750 posts
- 14. Dirty Donald 16K posts
- 15. #dispatch 54.3K posts
- 16. H-1B 99K posts
- 17. Michigan State 9,610 posts
- 18. Jameis 9,768 posts
- 19. Zverev 5,025 posts
- 20. Rosalina 69.1K posts