Rose Yu
- Papers
- 13
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Authored papers
13Can LLMs Understand Time Series Anomalies?
arXiv 2024
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
arXiv 2024
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
arXiv 2024
ClimaQA: An Automated Evaluation Framework for Climate Foundation Models
arXiv 2024
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
dyffusion-a-dynamics-informed-diffusion-model
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
NeurIPS 2023 11
Improving Convergence and Generalization Using Parameter Symmetries
arXiv 2023
Generative Adversarial Symmetry Discovery
arXiv 2023
On the Connection Between MPNN and Graph Transformer
arXiv 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning
arXiv 2023
Understanding why shooters shoot -- An AI-powered engine for basketball performance profiling
arXiv 2023
Copula Conformal Prediction for Multi-step Time Series Forecasting
arXiv 2022
Meta-Learning Dynamics Forecasting Using Task Inference
meta-learning-dynamics-forecasting-using-task-1
Affiliations
Frequent co-authors
10from 13 papers
Robin Walters
Bo Zhao
Duncan Watson-Parris
Leon Bergen
Salva Rühling Cachay
Taylor Berg-Kirkpatrick
Yian Ma
Akshay Subramaniam
Alejandro Rodriguez Pascual
Alistair White