Evaluating Real-Time Anomaly Detection Algorithms - The Numenta Anomaly Benchmark. - Alexander Lavin; Subutai Ahmad (ICMLA, 2015)

A Pareto Front-Based Multiobjective Path Planning Algorithm. - Alexander Lavin (CoRR, 2015)

Optimized Mission Planning for Planetary Exploration Rovers. - Alexander Lavin (CoRR, 2015)

A Pareto Optimal D* Search Algorithm for Multiobjective Path Planning. - Alexander Lavin (CoRR, 2015)

Unsupervised real-time anomaly detection for streaming data. - Subutai Ahmad; Alexander Lavin; Scott Purdy; Zuha Agha (Neurocomputing, 2017)

Cortical Microcircuits from a Generative Vision Model. - Dileep George; Alexander Lavin; J. Swaroop Guntupalli; David A. Mély; Nick Hay; Miguel Lázaro-Gredilla (CoRR, 2018)

Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors. - Bijan Haney; Alexander Lavin (CoRR, 2020)

Manifolds for Unsupervised Visual Anomaly Detection. - Louise Naud; Alexander Lavin (CoRR, 2020)

Technology Readiness Levels for Machine Learning Systems. - Alexander Lavin; Gregory Renard (CoRR, 2020)

Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels. - Alexander Lavin (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 J. Newman; Alexander Lavin; Yarin Gal; Chedy Raïssi (CoRR, 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)

Technology Readiness Levels for Machine Learning Systems. - Alexander Lavin; Ciarán M. Gilligan-Lee; Alessya Visnjic; Siddha Ganju; Dava J. Newman; Sujoy Ganguly; Danny Lange; Atilim Günes Baydin; Amit Sharma 007; Adam Gibson; Yarin Gal; Eric P. Xing; et al. (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 J. Newman (CoRR, 2021)

Multivariate Deep Evidential Regression. - Nis Meinert; Alexander Lavin (CoRR, 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; et al. (CoRR, 2021)

Physical Computing for Materials Acceleration Platforms. - Erik Peterson; Alexander Lavin (CoRR, 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)

The Unreasonable Effectiveness of Deep Evidential Regression. - Nis Meinert; Jakob Gawlikowski; Alexander Lavin (AAAI, 2023)

The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. - Hector Zenil; Jesper Tegnér; Felipe S. Abrahão; Alexander Lavin; Vipin Kumar 001; Jeremy G. Frey; Adrian Weller; Larisa N. Soldatova; Alan R. Bundy; Nicholas R. Jennings; Koichi Takahashi; Lawrence Hunter; et al. (CoRR, 2023)

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; et al. (IEEE Trans. Geosci. Remote. Sens., 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., 2024)

Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery. - Yanbo Zhang; Sumeer Ahmad Khan; Adnan Mahmud; Huck Yang; Alexander Lavin; Michael Levin 001; Jeremy G. Frey; Jared Dunnmon; James A. Evans; Alan R. Bundy; Saso Dzeroski; Jesper Tegnér; et al. (CoRR, 2025)

Tesseract Core: Universal, autodiff-native software components for Simulation Intelligence. - Dion Häfner; Alexander Lavin (J. Open Source Softw., 2025)