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Invited Talk 11 Q&A by Rose
Rose Yu
Fri Dec 11 04:32 PM -- 04:40 PM (PST) @
Author Information
Rose Yu (University of California, San Diego)
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2020 : Paper 60: Traffic Forecasting using Vehicle-to-Vehicle Communication and Recurrent Neural Networks »
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2022 : A Noether's theorem for gradient flow: Continuous symmetries of the architecture and conserved quantities of gradient flow »
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2023 Poster: DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting »
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2023 Poster: ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate models »
Sungduk Yu · Walter Hannah · Liran Peng · Jerry Lin · Mohamed Aziz Bhouri · Ritwik Gupta · Björn Lütjens · Justus Will · Gunnar Behrens · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah Ferretti · Nana Liu · Animashree Anandkumar · Noah Brenowitz · Veronika Eyring · Nicholas Geneva · Pierre Gentine · Stephan Mandt · Jaideep Pathak · Akshay Subramaniam · Carl Vondrick · Rose Yu · Laure Zanna · Ryan Abernathey · Fiaz Ahmed · David Bader · Pierre Baldi · Elizabeth Barnes · Christopher Bretherton · Julius Busecke · Peter Caldwell · Wayne Chuang · Yilun Han · YU HUANG · Fernando Iglesias-Suarez · Sanket Jantre · Karthik Kashinath · Marat Khairoutdinov · Thorsten Kurth · Nicholas Lutsko · Po-Lun Ma · Griffin Mooers · J. David Neelin · David Randall · Sara Shamekh · Mark Taylor · Nathan Urban · Janni Yuval · Guang Zhang · Tian Zheng · Mike Pritchard -
2023 Oral: ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate models »
Sungduk Yu · Walter Hannah · Liran Peng · Jerry Lin · Mohamed Aziz Bhouri · Ritwik Gupta · Björn Lütjens · Justus Will · Gunnar Behrens · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah Ferretti · Nana Liu · Animashree Anandkumar · Noah Brenowitz · Veronika Eyring · Nicholas Geneva · Pierre Gentine · Stephan Mandt · Jaideep Pathak · Akshay Subramaniam · Carl Vondrick · Rose Yu · Laure Zanna · Ryan Abernathey · Fiaz Ahmed · David Bader · Pierre Baldi · Elizabeth Barnes · Christopher Bretherton · Julius Busecke · Peter Caldwell · Wayne Chuang · Yilun Han · YU HUANG · Fernando Iglesias-Suarez · Sanket Jantre · Karthik Kashinath · Marat Khairoutdinov · Thorsten Kurth · Nicholas Lutsko · Po-Lun Ma · Griffin Mooers · J. David Neelin · David Randall · Sara Shamekh · Mark Taylor · Nathan Urban · Janni Yuval · Guang Zhang · Tian Zheng · Mike Pritchard -
2022 : Rose Yu: "Physics-Guided Deep Learning for Climate Science" »
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2022 : Keynote Talk 2 »
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2022 : Panel Discussion I: Geometric and topological principles for representation learning in ML »
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2022 Poster: Meta-Learning Dynamics Forecasting Using Task Inference »
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2022 Poster: Symmetry Teleportation for Accelerated Optimization »
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2021 : Physics-Guided AI for Modeling Autonomous Vehicle Dynamics »
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2020 : Q/A and Discussion for ML Theory Session »
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2020 : Rose Yu »
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2020 : Rose Yu - Physics-Guided AI for Learning Spatiotemporal Dynamics »
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2020 Workshop: Machine Learning for Engineering Modeling, Simulation and Design »
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2020 : Invited Talk 11: Tensor Methods for Efficient and Interpretable Spatiotemporal Learning »
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2020 : Quantifying Uncertainty in Deep Spatiotemporal Forecasting for COVID-19 »
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2020 Poster: Deep Imitation Learning for Bimanual Robotic Manipulation »
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2020 Poster: Learning Disentangled Representations of Videos with Missing Data »
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2020 Session: Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity »
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2018 : Long Range Sequence Generation via Multiresolution Adversarial Training »
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