James G. Scott

18 papers A* 3A 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Score-Guided Proximal Projection: A Unified Geometric Framework for Rectified Flow Editing.
CoRR
Vansh Bansal, James G. Scott
2025 J jnl
CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates.
CoRR
Tianyu Chen, Vansh Bansal, James G. Scott
2025 A conf
Conditional diffusions for amortized neural posterior estimation.
AISTATS
Tianyu Chen, Vansh Bansal, James G. Scott
2025 J jnl
The surprising strength of weak classifiers for validating neural posterior estimates.
CoRR
Vansh Bansal, Tianyu Chen, James G. Scott
2024 J jnl
Conditional diffusions for neural posterior estimation.
CoRR
Tianyu Chen, Vansh Bansal, James G. Scott
2023 A* conf
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies.
AAAI
Mauricio Tec, James G. Scott, Corwin M. Zigler
2022 J jnl
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies.
CoRR
Mauricio Tec, James G. Scott, Corwin M. Zigler
2021 J jnl
Combining spatial and sociodemographic regression techniques to predict residential fire counts at the census tract level.
Comput. Environ. Urban Syst.
Tyler Buffington, James G. Scott, Ofodike A. Ezekoye
2020 J jnl
Socioeconomic bias in influenza surveillance.
PLoS Comput. Biol.
Samuel V. Scarpino, James G. Scott, Rosalind M. Eggo, Bruce Clements, Nedialko B. Dimitrov, Lauren Ancel Meyers
2018 A* conf
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction.
AAAI
Wesley Tansey, Karl Pichotta, James G. Scott
2018 A* conf
Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing.
AAAI
Wesley Tansey, Jesse Thomason, James G. Scott
2018 J jnl
TDAstats: R pipeline for computing persistent homology in topological data analysis.
J. Open Source Softw.
Raoul R. Wadhwa, Drew F. K. Williamson, Andrew Dhawan, James G. Scott
2017 J jnl
The DFS Fused Lasso: Linear-Time Denoising over General Graphs.
J. Mach. Learn. Res.
Oscar Hernan Madrid Padilla, James Sharpnack, James G. Scott, Ryan J. Tibshirani
2016 J jnl
Diet2Vec: Multi-scale analysis of massive dietary data.
CoRR
Wesley Tansey, Edward W. Lowe Jr., James G. Scott
2015 J jnl
Proximal Algorithms in Statistics and Machine Learning.
CoRR
Nicholas G. Polson, James G. Scott, Brandon T. Willard
2012 J jnl
Benchmarking historical corporate performance.
Comput. Stat. Data Anal.
James G. Scott
2012 — conf
Fully Bayesian inference for neural models with negative-binomial spiking.
NIPS
Jonathan W. Pillow, James G. Scott
2009 A conf
Handling Sparsity via the Horseshoe.
AISTATS
Carlos M. Carvalho, Nicholas G. Polson, James G. Scott