Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence

26 March 2024

Papers citing "Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence"

27 / 27 papers shown

Title
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics Benedikt Barthel Sorensen A. Charalampopoulos Shixuan Zhang B. Harrop Ruby Leung T. Sapsis AI4Cl 26 10 0 28 Feb 2024
A mathematical perspective on Transformers Borjan Geshkovski Cyril Letrouit Yury Polyanskiy Philippe Rigollet EDL AI4CE 69 41 0 17 Dec 2023
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence R. Mojgani Daniel Waelchli Yifei Guan Petros Koumoutsakos Pedram Hassanzadeh AI4Cl AI4CE 61 5 0 01 Dec 2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models Ruibin Li Qihua Zhou Song Guo Jiewei Zhang Jingcai Guo Xinyang Jiang Yifei Shen Zhen-Hai Han DiffM 42 15 0 01 Jun 2023
The emergence of clusters in self-attention dynamics Borjan Geshkovski Cyril Letrouit Yury Polyanskiy Philippe Rigollet 53 52 0 09 May 2023
$β$ -Variational autoencoders and transformers for reduced-order modelling of fluid flows Alberto Solera-Rico Carlos Sanmiguel Vila Miguel Gómez-López Yuning Wang Abdulrahman Almashjary Scott T. M. Dawson Ricardo Vinuesa DRL 44 83 0 07 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems Ivica Kicic Pantelis R. Vlachas G. Arampatzis Michail Chatzimanolakis Leonidas Guibas Petros Koumoutsakos AI4CE 43 6 0 04 Apr 2023
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study Robert Ferrando Laurent Pagnier R. Mieth Zhirui Liang Y. Dvorkin D. Bienstock Michael Chertkov 38 7 0 31 Mar 2023
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 339 6,830 0 13 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 229 30,089 0 01 Mar 2022
Simulation Intelligence: Towards a New Generation of Scientific Methods Alexander Lavin D. Krakauer Hector Zenil Justin Emile Gottschlich Tim Mattson ... A. Hanuka Manuela Veloso Samuel A. Assefa Stephan Zheng Avi Pfeffer 98 110 0 06 Dec 2021
Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence M. Woodward Yifeng Tian Criston Hyett Chris L. Fryer Daniel Livescu Mikhail Stepanov Michael Chertkov AI4CE 34 8 0 25 Oct 2021
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number Francesco Borra Luca Biferale M. Cencini A. Celani 72 21 0 16 Jun 2021
Learning Efficient Navigation in Vortical Flow Fields Peter Gunnarson Ioannis Mandralis G. Novati Petros Koumoutsakos J. Dabiri 67 70 0 21 Feb 2021
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems Laurent Pagnier Michael Chertkov 68 50 0 12 Feb 2021
Neural Particle Image Velocimetry N. Stulov Michael Chertkov 36 7 0 28 Jan 2021
A reinforcement learning approach to rare trajectory sampling Dominic C. Rose Jamie F. Mair J. P. Garrahan 53 51 0 26 May 2020
Machine learning strategies for path-planning microswimmers in turbulent flows Jaya Kumar Alageshan A. Verma Jin Tang Bin Luo 47 50 0 03 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions Belinda Tzen Maxim Raginsky DiffM 59 101 0 05 Mar 2019
Learning a Generator Model from Terminal Bus Data N. Stulov D. Sobajic Yury Maximov Deepjyoti Deka Michael Chertkov 45 4 0 03 Jan 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 341 5,081 0 19 Jun 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 67 1,245 0 27 Dec 2017
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis PINN AI4CE 70 612 0 28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis PINN AI4CE 75 922 0 28 Nov 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 255 6,887 0 12 Mar 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 154 2,796 0 20 Feb 2015