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06/14/2023
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators
Modern climate projections lack adequate spatial and temporal resolution...
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11/18/2022
Prediction scoring of data-driven discoveries for reproducible research
Predictive modeling uncovers knowledge and insights regarding a hypothes...
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09/12/2022
Wasserstein Distributional Learning
Learning conditional densities and identifying factors that influence th...
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12/05/2021
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Probabilistic machine learning increasingly informs critical decisions i...
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06/02/2021
Weakly Supervised Learning Creates a Fusion of Modeling Cultures
The past two decades have witnessed the great success of the algorithmic...
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12/17/2020
Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions
Group-based social dominance hierarchies are of essential interest in an...
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09/03/2020
Online Community Detection for Event Streams on Networks
A common goal in network modeling is to uncover the latent community str...
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07/10/2020
Next Waves in Veridical Network Embedding
Embedding nodes of a large network into a metric (e.g., Euclidean) space...
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03/14/2020
OccuSeg: Occupancy-aware 3D Instance Segmentation
3D instance segmentation, with a variety of applications in robotics and...
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01/25/2020
Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
Point process models have been used to analyze interaction event times o...
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03/08/2019
Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences
Modeling event dynamics is central to many disciplines. Patterns in obse...
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01/14/2018
A Bayesian Evidence Synthesis Approach to Estimate Disease Prevalence in Hard-To-Reach Populations: Hepatitis C in New York City
Existing methods to estimate the prevalence of chronic hepatitis C (HCV)...
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04/21/2016
Stabilized Sparse Online Learning for Sparse Data
Stochastic gradient descent (SGD) is commonly used for optimization in l...
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12/10/2015
Boosted Sparse Non-linear Distance Metric Learning
This paper proposes a boosting-based solution addressing metric learning...
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02/25/2015