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2020 – today
- 2024
[j2]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: 105508 (2024)- 2023
- [c2]Nis Meinert, Jakob Gawlikowski, Alexander Lavin:
The Unreasonable Effectiveness of Deep Evidential Regression. AAAI 2023: 9134-9142 - [i19]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 abs/2307.07522 (2023) - 2022
- [i18]Nis Meinert, Jakob Gawlikowski, Alexander Lavin:
The Unreasonable Effectiveness of Deep Evidential Regression. CoRR abs/2205.10060 (2022) - [i17]Erik Peterson, Alexander Lavin:
Physical Computing for Materials Acceleration Platforms. CoRR abs/2208.08566 (2022) - [i16]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 abs/2211.10884 (2022) - 2021
- [i15]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 abs/2101.03989 (2021) - [i14]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 abs/2104.04785 (2021) - [i13]Nis Meinert, Alexander Lavin:
Multivariate Deep Evidential Regression. CoRR abs/2104.06135 (2021) - [i12]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:
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR abs/2112.03235 (2021) - 2020
- [i11]Bijan Haney, Alexander Lavin:
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors. CoRR abs/2005.11450 (2020) - [i10]Louise Naud, Alexander Lavin:
Manifolds for Unsupervised Visual Anomaly Detection. CoRR abs/2006.11364 (2020) - [i9]Alexander Lavin, Gregory Renard:
Technology Readiness Levels for Machine Learning Systems. CoRR abs/2006.12497 (2020) - [i8]Alexander Lavin:
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels. CoRR abs/2009.07738 (2020) - [i7]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 abs/2010.08103 (2020) - [i6]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 abs/2011.04776 (2020)
2010 – 2019
- 2018
- [i5]Dileep George, Alexander Lavin, J. Swaroop Guntupalli, David A. Mély, Nick Hay, Miguel Lázaro-Gredilla:
Cortical Microcircuits from a Generative Vision Model. CoRR abs/1808.01058 (2018) - 2017
- [j1]Subutai Ahmad, Alexander Lavin, Scott Purdy, Zuha Agha:
Unsupervised real-time anomaly detection for streaming data. Neurocomputing 262: 134-147 (2017) - 2015
- [c1]Alexander Lavin, Subutai Ahmad:
Evaluating Real-Time Anomaly Detection Algorithms - The Numenta Anomaly Benchmark. ICMLA 2015: 38-44 - [i4]Alexander Lavin:
A Pareto Front-Based Multiobjective Path Planning Algorithm. CoRR abs/1505.05947 (2015) - [i3]Alexander Lavin, Subutai Ahmad:
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark. CoRR abs/1510.03336 (2015) - [i2]Alexander Lavin:
Optimized Mission Planning for Planetary Exploration Rovers. CoRR abs/1511.00195 (2015) - [i1]Alexander Lavin:
A Pareto Optimal D* Search Algorithm for Multiobjective Path Planning. CoRR abs/1511.00787 (2015)
Coauthor Index
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