Alexander Lavin

According to our database, Alexander Lavin authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites.

Aurelien Meray, Lijing Wang, Takuya Kurihana, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko M. Wainwright

Comput. Geosci., January, 2024

Generating Physically-Consistent Satellite Imagery for Climate Visualizations.

Björn Lütjens, Brandon Leshchinskiy, Océane Boulais, Farrukh Chishtie, Natalia Díaz Rodríguez, Margaux Masson-Forsythe, Ana Mata-Payerro, Christian Requena-Mesa, Aruna Sankaranarayanan, Aaron Piña, Yarin Gal, Chedy Raïssi, Alexander Lavin, Dava Newman

IEEE Trans. Geosci. Remote. Sens., 2024

2023

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

Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. 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 A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King

CoRR, 2023

The Unreasonable Effectiveness of Deep Evidential Regression.

Nis Meinert, Jakob Gawlikowski, Alexander Lavin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Lijing Wang, Takuya Kurihana, Aurelien Meray, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko M. Wainwright

CoRR, 2022

Physical Computing for Materials Acceleration Platforms.

Erik Peterson, Alexander Lavin

CoRR, 2022

2021

Simulation Intelligence: Towards a New Generation of Scientific Methods.

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

CoRR, 2021

Multivariate Deep Evidential Regression.

Nis Meinert, Alexander Lavin

CoRR, 2021

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization.

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

CoRR, 2021

Technology Readiness Levels for Machine Learning Systems.

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

CoRR, 2021

2020

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

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

CoRR, 2020

Physics-informed GANs for Coastal Flood Visualization.

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

CoRR, 2020

Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels.

Alexander Lavin

CoRR, 2020

Technology Readiness Levels for Machine Learning Systems.

Alexander Lavin, Gregory Renard

CoRR, 2020

Manifolds for Unsupervised Visual Anomaly Detection.

Louise Naud, Alexander Lavin

CoRR, 2020

Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors.

Bijan Haney, Alexander Lavin

CoRR, 2020

2018

Cortical Microcircuits from a Generative Vision Model.

Dileep George, Alexander Lavin, J. Swaroop Guntupalli, David A. Mély, Nick Hay, Miguel Lázaro-Gredilla

CoRR, 2018

2017

Unsupervised real-time anomaly detection for streaming data.

Subutai Ahmad, Alexander Lavin, Scott Purdy, Zuha Agha

Neurocomputing, 2017

2015

A Pareto Optimal D* Search Algorithm for Multiobjective Path Planning.

Alexander Lavin

CoRR, 2015

Optimized Mission Planning for Planetary Exploration Rovers.

Alexander Lavin

CoRR, 2015

A Pareto Front-Based Multiobjective Path Planning Algorithm.

Alexander Lavin

CoRR, 2015

Evaluating Real-Time Anomaly Detection Algorithms - The Numenta Anomaly Benchmark.

Alexander Lavin, Subutai Ahmad

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015