Ann B. Lee - RankMe

26 papers A* 3A 5Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Trustworthy predictive distributions for rare events via diagnostic transport maps. CoRR Elizabeth Cucuzzella, Rafael Izbicki, Ann B. Lee
2025	J	`jnl`	Multi-Resolution Analysis of the Convective Structure of Tropical Cyclones for Short-Term Intensity Guidance. CoRR Elizabeth Cucuzzella, Tria McNeely, Kimberly M. Wood, Ann B. Lee
2025	J	`jnl`	Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR). Mach. Learn. Sci. Technol. Biprateep Dey, David Zhao, Brett H. Andrews, Jeffrey A. Newman, Rafael Izbicki, Ann B. Lee
2024	A*	`conf`	Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. ICML Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee
2024	J	`jnl`	Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. CoRR Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee
2023	A	`conf`	Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems. AISTATS Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee
2022	J	`jnl`	Calibrated Predictive Distributions via Diagnostics for Conditional Coverage. CoRR Biprateep Dey, David Zhao, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki, Ann B. Lee
2022	J	`jnl`	Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm. CoRR Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee
2021	A	`conf`	Diagnostics for conditional density models and Bayesian inference algorithms. UAI David Zhao, Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee
2021	J	`jnl`	Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones. CoRR Trey McNeely, Galen Vincent, Rafael Izbicki, Kimberly M. Wood, Ann B. Lee
2021	J	`jnl`	Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification. CoRR Niccolò Dalmasso, David Zhao, Rafael Izbicki, Ann B. Lee
2021	J	`jnl`	Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression. CoRR Biprateep Dey, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki, Ann B. Lee, David Zhao, Markus Michael Rau, Alex I. Malz
2020	J	`jnl`	Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference. Astron. Comput. Niccolò Dalmasso, Taylor Pospisil, Ann B. Lee, Rafael Izbicki, Peter E. Freeman, Alex I. Malz
2020	A*	`conf`	Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. ICML Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee
2020	J	`jnl`	Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. CoRR Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee
2020	J	`jnl`	Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning. CoRR Trey McNeely, Niccolò Dalmasso, Kimberly M. Wood, Ann B. Lee
2020	A	`conf`	Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. AISTATS Niccolò Dalmasso, Ann B. Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin
2018	J	`jnl`	RFCDE: Random Forests for Conditional Density Estimation. CoRR Taylor Pospisil, Ann B. Lee
2014	A	`conf`	High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation. AISTATS Rafael Izbicki, Ann B. Lee, Chad Schafer
2011	J	`jnl`	An Optimal Transportation Approach for Nuclear Structure-Based Pathology. IEEE Trans. Medical Imaging Wei Wang, John A. Ozolek, Dejan Slepcev, Ann B. Lee, Cheng Chen, Gustavo K. Rohde
2007	A	`conf`	Treelets \| A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data. AISTATS Ann B. Lee, Boaz Nadler
2006	J	`jnl`	Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameterization. IEEE Trans. Pattern Anal. Mach. Intell. Stéphane Lafon, Ann B. Lee
2003	J	`jnl`	The Nonlinear Statistics of High-Contrast Patches in Natural Images. Int. J. Comput. Vis. Ann B. Lee, Kim Steenstrup Pedersen, David Mumford
2002	—	`conf`	Toward a Full Probability Model of Edges in Natural Images. ECCV (1) Kim Steenstrup Pedersen, Ann B. Lee
2001	J	`jnl`	Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model. Int. J. Comput. Vis. Ann B. Lee, David Mumford, Jinggang Huang
2000	A*	`conf`	Statistics of Range Images. CVPR Jinggang Huang, Ann B. Lee, David Mumford