More from the Same Authors

• 2020 : Paper 60: Traffic Forecasting using Vehicle-to-Vehicle Communication and Recurrent Neural Networks »
  Rose Yu
• 2022 : A Noether's theorem for gradient flow: Continuous symmetries of the architecture and conserved quantities of gradient flow »
  Bo Zhao · Iordan Ganev · Robin Walters · Rose Yu · Nima Dehmamy
• 2022 : Charting Flat Minima Using the Conserved Quantities of Gradient Flow »
  Bo Zhao · Iordan Ganev · Robin Walters · Rose Yu · Nima Dehmamy
• 2022 : Rethinking Neural Relational Inference for Granger Causal Discovery »
  Stefanos Bennett · Rose Yu
• 2023 Poster: DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting »
  Salva Rühling Cachay · Bo Zhao · Hailey James · Rose Yu
• 2023 Poster: Automatic Integration for Spatiotemporal Neural Point Processes »
  Zihao Zhou · Rose Yu
• 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 C. Will · Gunnar Behrens · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah L. 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 C. Will · Gunnar Behrens · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah L. 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" »
  Rose Yu
• 2022 : Keynote Talk 2 »
  Rose Yu
• 2022 : Panel Discussion I: Geometric and topological principles for representation learning in ML »
  Irina Higgins · Taco Cohen · Erik Bekkers · Nina Miolane · Rose Yu
• 2022 Poster: Meta-Learning Dynamics Forecasting Using Task Inference »
  Rui Wang · Robin Walters · Rose Yu
• 2022 Poster: Symmetry Teleportation for Accelerated Optimization »
  Bo Zhao · Nima Dehmamy · Robin Walters · Rose Yu
• 2021 : Physics-Guided AI for Modeling Autonomous Vehicle Dynamics »
  Rose Yu · Rose Yu
• 2020 : Q/A and Discussion for ML Theory Session »
  Karthik Kashinath · Mayur Mudigonda · Stephan Mandt · Rose Yu
• 2020 : Rose Yu - Physics-Guided AI for Learning Spatiotemporal Dynamics »
  Rose Yu
• 2020 Workshop: Machine Learning for Engineering Modeling, Simulation and Design »
  Alex Beatson · Priya Donti · Amira Abdel-Rahman · Stephan Hoyer · Rose Yu · J. Zico Kolter · Ryan Adams
• 2020 : Invited Talk 11 Q&A by Rose »
  Rose Yu
• 2020 : Invited Talk 11: Tensor Methods for Efficient and Interpretable Spatiotemporal Learning »
  Rose Yu
• 2020 : Quantifying Uncertainty in Deep Spatiotemporal Forecasting for COVID-19 »
  Yian Ma · Rose Yu
• 2020 Poster: Deep Imitation Learning for Bimanual Robotic Manipulation »
  Fan Xie · Alexander Chowdhury · M. Clara De Paolis Kaluza · Linfeng Zhao · Lawson Wong · Rose Yu
• 2020 Poster: Learning Disentangled Representations of Videos with Missing Data »
  Armand Comas · Chi Zhang · Zlatan Feric · Octavia Camps · Rose Yu
• 2020 Session: Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity »
  Animesh Garg · Rose Yu
• 2018 : Long Range Sequence Generation via Multiresolution Adversarial Training »
  Rose Yu