Danielle C. Maddix
10 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer
🐣
Hot Topic Early Bird
💎
Century Club
(10)
Conferences
ICML (5)
ICLR (2)
AISTATS (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
time series forecasting
(2)
anomaly detection
(1)
bayesian inference
(1)
uncertainty quantification
(1)
deep learning
(1)
variance reduction
(1)
partial differential equation
(1)
probabilistic forecasting
(1)
computational fluid dynamics
(1)
scientific machine learning
(1)
conservation law
(1)
neural network
(1)
stacked generalization
(1)
porous medium equation
(1)
large eddy simulation
(1)
automotive aerodynamics
(1)
machine learning surrogate
(1)
probabilistic modeling
(1)
force coefficient
(1)
Papers
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025
Gradient-Free Generation for Hard-Constrained Systems
ICLR 2025
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
ICML 2024
Transferring Knowledge From Large Foundation Models to Small Downstream Models
ICML 2024
WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics
NIPS 2024
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
ICML 2023
Guiding continuous operator learning through Physics-based boundary constraints
ICLR 2023
Learning Physical Models that Can Respect Conservation Laws
ICML 2023
GluonTS: Probabilistic and Neural Time Series Modeling in Python
JMLR 2020