Rose Yu
- Papers
- 13
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Authored papers
13Can LLMs Understand Time Series Anomalies?
arXiv 2024
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
arXiv 2024
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
arXiv 2024
ClimaQA: An Automated Evaluation Framework for Climate Foundation Models
arXiv 2024
Improving Convergence and Generalization Using Parameter Symmetries
arXiv 2023
On the Connection Between MPNN and Graph Transformer
arXiv 2023
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
Generative Adversarial Symmetry Discovery
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