8 citations · 16 across the 6 of their papers we have counts for
6 papers
Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data
Saumya Sinha, John Fasullo, R. Steven Nerem +1
Sea surface height observations provided by satellite altimetry since 1993 show a rising rate (3.4 mm/year) for global mean sea level. While on average, sea level has risen 10 cm o…
STint: Self-supervised Temporal Interpolation for Geospatial Data
Nidhin Harilal, Bri-Mathias Hodge, Aneesh Subramanian +1
Supervised and unsupervised techniques have demonstrated the potential for temporal interpolation of video data. Nevertheless, most prevailing temporal interpolation techniques hin…
Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles
Saumya Sinha, John Fasullo, R. Steven Nerem +1
Satellite altimeter observations retrieved since 1993 show that the global mean sea level is rising at an unprecedented rate (3.4mm/year). With almost three decades of observations…
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
Lily Xu, Esther Rolf, Sara Beery +21
In this white paper, we synthesize key points made during presentations and discussions from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for Res…
Convergence rate of stochastic k-means
Cheng Tang, Claire Monteleoni
We analyze online \cite{BottouBengio} and mini-batch \cite{Sculley} -means variants. Both scale up the widely used -means algorithm via stochastic approximation, and have bec…
Convergence rate of stochastic k-means
Cheng Tang, Claire Monteleoni
We analyze online and mini-batch k-means variants. Both scale up the widely used Lloyd 's algorithm via stochastic approximation, and have become popular for large-scale clustering…