Alexander Lavin

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Machine Learning Systems

Anomaly Detection

Top Venues

Comput. Geosci.

Publications

Aurelien Meray, Lijing Wang, Takuya Kurihana, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko M. Wainwright
Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites. Comput. Geosci. 183 (2024)
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
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR (2023)
Nis Meinert, Jakob Gawlikowski, Alexander Lavin
The Unreasonable Effectiveness of Deep Evidential Regression. AAAI (2023)
Nis Meinert, Jakob Gawlikowski, Alexander Lavin
The Unreasonable Effectiveness of Deep Evidential Regression. CoRR (2022)
Lijing Wang, Takuya Kurihana, Aurelien Meray, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko M. Wainwright
Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models. CoRR (2022)
Erik Peterson, Alexander Lavin
Physical Computing for Materials Acceleration Platforms. CoRR (2022)
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
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. CoRR (2021)
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 Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR (2021)
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
Technology Readiness Levels for Machine Learning Systems. CoRR (2021)
Nis Meinert, Alexander Lavin
Multivariate Deep Evidential Regression. CoRR (2021)
Siddha Ganju, Anirudh Koul, Alexander Lavin, Josh Veitch-Michaelis, Meher Kasam, James Parr
Learnings from Frontier Development Lab and SpaceML - AI Accelerators for NASA and ESA. CoRR (2020)
Louise Naud, Alexander Lavin
Manifolds for Unsupervised Visual Anomaly Detection. CoRR (2020)
Bijan Haney, Alexander Lavin
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors. CoRR (2020)
Alexander Lavin
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels. CoRR (2020)
Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aaron Piña, Dava Newman, Alexander Lavin, Yarin Gal, Chedy Raïssi
Physics-informed GANs for Coastal Flood Visualization. CoRR (2020)
Alexander Lavin, Gregory Renard
Technology Readiness Levels for Machine Learning Systems. CoRR (2020)
Dileep George, Alexander Lavin, J. Swaroop Guntupalli, David A. Mély, Nick Hay, Miguel Lázaro-Gredilla
Cortical Microcircuits from a Generative Vision Model. CoRR (2018)
Subutai Ahmad, Alexander Lavin, Scott Purdy, Zuha Agha
Unsupervised real-time anomaly detection for streaming data. Neurocomputing 262 (2017)
Alexander Lavin
A Pareto Optimal D* Search Algorithm for Multiobjective Path Planning. CoRR (2015)
Alexander Lavin
Optimized Mission Planning for Planetary Exploration Rovers. CoRR (2015)
Alexander Lavin, Subutai Ahmad
Evaluating Real-Time Anomaly Detection Algorithms - The Numenta Anomaly Benchmark. ICMLA (2015)
Alexander Lavin
A Pareto Front-Based Multiobjective Path Planning Algorithm. CoRR (2015)
Alexander Lavin, Subutai Ahmad
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark. CoRR (2015)