Poster

Wed 14:00

Where to Pay Attention in Sparse Training for Feature Selection?
Ghada Sokar · Zahra Atashgahi · Mykola Pechenizkiy · Decebal Constantin Mocanu

Poster

Thu 9:00

Bezier Gaussian Processes for Tall and Wide Data
Martin Jørgensen · Michael A Osborne

Poster

Thu 9:00

Detecting Abrupt Changes in Sequential Pairwise Comparison Data
Wanshan Li · Alessandro Rinaldo · Daren Wang

Workshop

An Inversion Algorithm of Ice Thickness and InSAR Data for the State of Friction at the Base of the Greenland Ice Sheet
Aryan Jain · Jeonghyeop Kim · William Holt

Affinity Workshop

Mobile-PDC: High-Accuracy Plant Disease Classification for Mobile Devices.
Samiiha Nalwooga · Henry Mutegeki

Poster

Thu 14:00

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
Hai Shu · Zhe Qu · Hongtu Zhu

Poster

Thu 14:00

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
Dhananjay Bhaskar · Kincaid MacDonald · Oluwadamilola Fasina · Dawson Thomas · Bastian Rieck · Ian Adelstein · Smita Krishnaswamy

Workshop

Identifying latent distances with Finslerian geometry
Alison Pouplin · David Eklund · Carl Henrik Ek · Søren Hauberg

Workshop

Generating physically-consistent high-resolution climate data with hard-constrained neural networks
Paula Harder · Qidong Yang · Venkatesh Ramesh · Prasanna Sattigeri · Alex Hernandez-Garcia · Campbell Watson · Daniela Szwarcman · David Rolnick

Workshop

Fri 16:11

DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath

Workshop

DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath