5 citations · 10 across the 3 of their papers we have counts for
3 papers
Automated Discovery of Anomalous Features in Ultra-Large Planetary Remote Sensing Datasets using Variational Autoencoders
Adam Lesnikowski, Valentin T. Bickel, Daniel Angerhausen
The NASA Lunar Reconnaissance Orbiter (LRO) has returned petabytes of lunar high spatial resolution surface imagery over the past decade, impractical for humans to fully review man…
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions
Adam Lesnikowski, Gabriel de Souza Pereira Moreira, Sara Rabhi +1
Synthetic data and simulators have the potential to markedly improve the performance and robustness of recommendation systems. These approaches have already had a beneficial impact…
How Much Did it Rain? Predicting Real Rainfall Totals Based on Radar Data
Adam Lesnikowski
We applied a variety of parametric and non-parametric machine learning models to predict the probability distribution of rainfall based on 1M training examples over a single year a…