DurstewitzLab(@DurstewitzLab) 's Twitter Profile Photo

Can we learn from time series data a dynamical systems model that *generalizes* to unobserved dynamical regimes (basins of attraction), like a good scientific theory should?

Out-of-domain generalization in reconstruction:
arxiv.org/abs/2402.18377


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Can we learn from time series data a dynamical systems model that *generalizes* to unobserved dynamical regimes (basins of attraction), like a good scientific theory should?

Out-of-domain generalization in #DynamicalSystems reconstruction: 
arxiv.org/abs/2402.18377

#AI #ML
(1/3)
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DurstewitzLab(@DurstewitzLab) 's Twitter Profile Photo

How to reconstruct from many different data modalities observed simultaneously?
Here we introduce a novel generative modeling framework for this, based on control-theoretic ideas for efficiently guiding the training process: arxiv.org/abs/2212.07892

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How to reconstruct #DynamicalSystems from many different data modalities observed simultaneously?
Here we introduce a novel generative modeling framework for this, based on control-theoretic ideas for efficiently guiding the training process: arxiv.org/abs/2212.07892
#AI #ML
(1/4)
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Aleksander Molak (CausalPython.io)(@AleksanderMolak) 's Twitter Profile Photo

Can we meaningfully talk about causality in dynamical systems?

Some people are puzzled when it comes to dynamical systems and the idea of causation.

[PREMIERE TODAY] 👇🏼

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Can we meaningfully talk about causality in dynamical systems?

Some people are puzzled when it comes to dynamical systems and the idea of causation.

[PREMIERE TODAY] 👇🏼

1/n

#CausalBanditsPodcast #causality #causaltwitter #dynamicalsystems #complexity
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DurstewitzLab(@DurstewitzLab) 's Twitter Profile Photo

Our Perspective on reconstructing computat. system dynamics from neural data finally out in Nature Rev Neurosci!
nature.com/articles/s4158…
We survey generative models that can be trained on time series to mimic the behavior of the neural substrate.

Our Perspective on reconstructing computat. system dynamics from neural data finally out in @NatRevNeurosci!
nature.com/articles/s4158…
We survey generative models that can be trained on time series to mimic the behavior of the neural substrate.
#AI #neuroscience #DynamicalSystems
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Mathemarium (LJAD)(@Mathemarium) 's Twitter Profile Photo

A propos de l'attracteur de Lorenz :
✅Simulation en ligne d'un flot de CI ➡️ experiences.mathemarium.fr/Lorenz-3D-Flot…
✅ Chapitre sur Lorenz dans l'eBook 'L’expérimentation numérique dans la science' ➡️ generative-ebooks.com/ebooks/Edward-…

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Hana Krakovská(@HanaKrakovska) 's Twitter Profile Photo

What is and how can we measure it? Our new paper in EJAM Journal shows the answer is not straightforward. We review existing approaches, formalize indicators of attractor resilience in , and develop a new classification. 1/3 bit.ly/3P2PfNu

What is #resilience and how can we measure it? Our new paper in @EjamJournal shows the answer is not straightforward. We review existing approaches, formalize indicators of attractor resilience in #dynamicalsystems, and develop a new classification. 1/3 bit.ly/3P2PfNu
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Stewart Heitmann(@StewartHeitmann) 's Twitter Profile Photo

The Modellers Workshop for the is open for enrolments. Learn to program bespoke of Ordinary, Stochastic and Delay . Limited to 25 students. Enrolments close Sep 30th. bdtoolbox.teachable.com/p/modellers-wo…

The Modellers Workshop for the #BrainDynamicsToolbox is open for enrolments. Learn to program bespoke #DynamicalSystems of Ordinary, Stochastic and Delay #DifferentialEquations. Limited to 25 students. Enrolments close Sep 30th. bdtoolbox.teachable.com/p/modellers-wo…
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Andrew Flynn(@apd_flynn) 's Twitter Profile Photo

Having a great time at in Napoli 😎
Thank you to all involved in organising this amazing event and for the opportunity to speak about my work on
Thanks to all who came to my talk ❤️

Dynamics Days Europe

Having a great time at #DDE23 in Napoli 😎
Thank you to all involved in organising this amazing event and for the opportunity to speak about my work on #multifunctional #reservoircomputers 
Thanks to all who came to my talk ❤️

@days_europe
#DynamicalSystems #MachineLearning #AI
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Ján Drgoňa(@jan_drgona) 's Twitter Profile Photo

Learning Stable Deep Koopman Operators in Neuromancer.

Colab: colab.research.google.com/github/pnnl/ne…

Neuromancer library: github.com/pnnl/neuromanc…

Learning Stable Deep Koopman Operators in Neuromancer.

Colab: colab.research.google.com/github/pnnl/ne…

Neuromancer library: github.com/pnnl/neuromanc…

#Pytorch #SciML #Koopman #PNNL #opensource #dynamicalsystems
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Joshua Curtiss(@psychonetrics) 's Twitter Profile Photo

Excited to share that my K23 is finally funded! 🎉 Looking forward to working on this time-series forecasting/ML project with passive sensor & ema data. Many thanks to my mentorship team for their support along the way :) learning -series

Excited to share that my K23 is finally funded! 🎉 Looking forward to working on this time-series forecasting/ML project with passive sensor & ema data. Many thanks to my mentorship team for their support along the way :) #machine learning #time-series #dynamicalsystems
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