Danielle C. Maddix

53 papers A* 11A 2Journal 38Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning. CoRR Zelin He, Boran Han, Xiyuan Zhang, Shuai Zhang, Haotian Lin, Qi Zhu, Haoyang Fang, Danielle C. Maddix, Abdul Fatir Ansari, Akash Chandrayan, Abhinav Pradhan, Yuyang Wang, Matthew Reimherr
2025	J	`jnl`	Chronos-2: From Univariate to Universal Forecasting. CoRR Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken, Andreas Auer, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Pablo Guerron, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, Hao Wang, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider
2025	A	`conf`	ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. AISTATS Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Ali Caner Türkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram
2025	J	`jnl`	ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. CoRR Sebastian Pineda-Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Yuyang Wang, Syama Sundar Rangapuram
2025	J	`jnl`	Does Multimodality Lead to Better Time Series Forecasting? CoRR Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	J	`jnl`	End-to-End Probabilistic Framework for Learning with Hard Constraints. CoRR Utkarsh Utkarsh, Danielle C. Maddix, Ruijun Ma, Michael W. Mahoney, Yuyang Wang
2025	A*	`conf`	Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization. ICML Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Bernie Wang
2025	A*	`conf`	Gradient-Free Generation for Hard-Constrained Systems. ICLR Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Bernie Wang
2025	J	`jnl`	Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models. CoRR Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	J	`jnl`	Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility. CoRR Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Yuyang Wang
2025	J	`jnl`	Understanding the Implicit Biases of Design Choices for Time Series Foundation Models. CoRR Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Yuyang Wang
2024	J	`jnl`	A Flexible Forecasting Stack. Proc. VLDB Endow. Tim Januschowski, Yuyang Wang, Jan Gasthaus, Syama Sundar Rangapuram, Caner Türkmen, Jasper Zschiegner, Lorenzo Stella, Michael Bohlke-Schneider, Danielle C. Maddix, Konstantinos Benidis, Alexander Alexandrov, Christos Faloutsos, Sebastian Schelter
2024	J	`jnl`	AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics. CoRR Neil Ashton, Danielle C. Maddix, Samuel Gundry, Parisa M. Shabestari
2024	J	`jnl`	Chronos: Learning the Language of Time Series. CoRR Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang
2024	J	`jnl`	Chronos: Learning the Language of Time Series. Trans. Mach. Learn. Res. Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang
2024	J	`jnl`	Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics. CoRR Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Yuyang Wang, Andrew Stuart, Michael W. Mahoney
2024	J	`jnl`	DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics. CoRR Neil Ashton, Charles Mockett, Marian Fuchs, Louis Fliessbach, Hendrik Hetmann, Thilo Knacke, Norbert Schonwald, Vangelis Skaperdas, Grigoris Fotiadis, Astrid Walle, Burkhard Hupertz, Danielle C. Maddix
2024	J	`jnl`	Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization. CoRR Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Yuyang Wang
2024	J	`jnl`	Hard Constraint Guided Flow Matching for Gradient-Free Generation of PDE Solutions. CoRR Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Yuyang Wang
2024	A*	`conf`	Transferring Knowledge From Large Foundation Models to Small Downstream Models. ICML Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson
2024	J	`jnl`	Transferring Knowledge from Large Foundation Models to Small Downstream Models. CoRR Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Yuyang Wang, Andrew Gordon Wilson
2024	A*	`conf`	Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs. ICML S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Bernie Wang
2024	J	`jnl`	Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs. CoRR S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Yuyang Wang
2024	A*	`conf`	WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics. NeurIPS Neil Ashton, Jordan B. Angel, Aditya S. Ghate, Gaetan K. W. Kenway, Man Long Wong, Cetin C. Kiris, Astrid Walle, Danielle C. Maddix, Gary Page
2024	J	`jnl`	WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics. CoRR Neil Ashton, Jordan B. Angel, Aditya S. Ghate, Gaetan K. W. Kenway, Man Long Wong, Cetin C. Kiris, Astrid Walle, Danielle C. Maddix, Gary Page
2023	J	`jnl`	Cross-Frequency Time Series Meta-Forecasting. CoRR Mike Van Ness, Huibin Shen, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Karthick Gopalswamy
2023	J	`jnl`	Deep Learning for Time Series Forecasting: Tutorial and Literature Survey. ACM Comput. Surv. Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski
2023	A*	`conf`	Guiding continuous operator learning through Physics-based boundary constraints. ICLR Nadim Saad, Gaurav Gupta, Shima Alizadeh, Danielle C. Maddix
2023	A*	`conf`	Learning Physical Models that Can Respect Conservation Laws. ICML Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney
2023	J	`jnl`	Learning Physical Models that Can Respect Conservation Laws. CoRR Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney
2023	A*	`conf`	PreDiff: Precipitation Nowcasting with Latent Diffusion Models. NeurIPS Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang
2023	J	`jnl`	PreDiff: Precipitation Nowcasting with Latent Diffusion Models. CoRR Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang
2023	A*	`conf`	Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. ICML Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park
2023	J	`jnl`	Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. CoRR Hilaf Hasson, Danielle C. Maddix, Yuyang Wang, Gaurav Gupta, Youngsuk Park
2022	A*	`conf`	Domain Adaptation for Time Series Forecasting via Attention Sharing. ICML Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Hao Wang, Yuyang Wang
2022	J	`jnl`	First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting. CoRR Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang
2022	J	`jnl`	Guiding continuous operator learning through Physics-based boundary constraints. CoRR Nadim Saad, Gaurav Gupta, Shima Alizadeh, Danielle C. Maddix
2022	A	`conf`	Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting. AISTATS Youngsuk Park, Danielle C. Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang
2022	J	`jnl`	Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow. CoRR Danielle C. Maddix, Nadim Saad, Yuyang Wang
2021	J	`jnl`	Attention-based Domain Adaptation for Time Series Forecasting. CoRR Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Yuyang Wang, Xifeng Yan
2021	—	`conf`	Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. L4DC Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu
2021	—	`conf`	GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics. ICBINB@NeurIPS Ke Alexander Wang, Danielle C. Maddix, Yuyang Wang
2021	J	`jnl`	GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics. CoRR Ke Alexander Wang, Danielle C. Maddix, Yuyang Wang
2021	J	`jnl`	Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting. CoRR Youngsuk Park, Danielle C. Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang
2020	J	`jnl`	Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. CoRR Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu
2020	J	`jnl`	GluonTS: Probabilistic and Neural Time Series Modeling in Python. J. Mach. Learn. Res. Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
2020	J	`jnl`	Neural forecasting: Introduction and literature overview. CoRR Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski
2019	A*	`conf`	Deep Factors for Forecasting. ICML Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean P. Foster, Tim Januschowski
2019	J	`jnl`	Deep Factors for Forecasting. CoRR Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean P. Foster, Tim Januschowski
2019	J	`jnl`	GluonTS: Probabilistic Time Series Models in Python. CoRR Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
2018	J	`jnl`	Deep Factors with Gaussian Processes for Forecasting. CoRR Danielle C. Maddix, Yuyang Wang, Alex Smola
2018	J	`jnl`	Numerical artifacts in the Generalized Porous Medium Equation: Why harmonic averaging itself is not to blame. J. Comput. Phys. Danielle C. Maddix, Luiz Sampaio, Margot Gerritsen
2018	J	`jnl`	Numerical artifacts in the discontinuous Generalized Porous Medium Equation: How to avoid spurious temporal oscillations. J. Comput. Phys. Danielle C. Maddix, Luiz Sampaio, Margot Gerritsen