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Alexander Lavin

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The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence

Jul 09, 2023
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross King

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Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models

Nov 20, 2022
Lijing Wang, Takuya Kurihana, Aurelien Meray, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko Wainwright

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Physical Computing for Materials Acceleration Platforms

Aug 17, 2022
Erik Peterson, Alexander Lavin

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The Unreasonable Effectiveness of Deep Evidential Regression

May 20, 2022
Nis Meinert, Jakob Gawlikowski, Alexander Lavin

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Simulation Intelligence: Towards a New Generation of Scientific Methods

Dec 06, 2021
Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atılım Güneş Baydin, Carina Prunkl, Brooks Paige, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob Macke, Kyle Cranmer, Jiaxin Zhang, Haruko Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer

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Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization

May 05, 2021
Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz-Rodríguez, Océane Boulais, Aruna Sankaranarayanan, Aaron Piña, Yarin Gal, Chedy Raïssi, Alexander Lavin, Dava Newman

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Multivariate Deep Evidential Regression

Apr 15, 2021
Nis Meinert, Alexander Lavin

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Technology Readiness Levels for Machine Learning Systems

Jan 11, 2021
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atılım Güneş Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr

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Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA

Nov 09, 2020
Siddha Ganju, Anirudh Koul, Alexander Lavin, Josh Veitch-Michaelis, Meher Kasam, James Parr

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