Danielle Maddix
5 papers · 2019–2023 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π£ Hot Topic Early Bird
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(5)
π±
Topic Pioneer
π
Trend Setter
Conferences
ICML (2)
AISTATS (1)
L4DC (1)
NIPS (1)
Top co-authors
Research topics
Keywords
time series forecasting
(2)
neural network
(2)
attention mechanism
(1)
deep learning
(1)
time series
(1)
quantile regression
(1)
source domain
(1)
target domain
(1)
latent variable model
(1)
dynamical system
(1)
deep neural network
(1)
uncertainty estimation
(1)
physics-based model
(1)
probabilistic forecasting
(1)
spatiotemporal forecasting
(1)
latent diffusion model
(1)
hybrid modeling
(1)
domain-invariant feature
(1)
disease forecasting
(1)
probabilistic forecast
(1)
Papers
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
NIPS 2023
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
AISTATS 2022
Domain Adaptation for Time Series Forecasting via Attention Sharing
ICML 2022
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
L4DC 2021
Deep Factors for Forecasting
ICML 2019