The neural coding framework for learning generative models von Ororbia, Alexander, Kifer, Daniel

Volltext

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network von Fang, Kuai, Shen, Chaopeng, Kifer, Daniel, Yang, Xiao

Volltext

Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes von Borate, Prabhav, Rivière, Jacques, Marone, Chris, Mali, Ankur, Kifer, Daniel, Shokouhi, Parisa

Volltext

A Simple Baseline for Travel Time Estimation using Large-scale Trip Data von Wang, Hongjian, Tang, Xianfeng, Kuo, Yu-Hsuan, Kifer, Daniel, Li, Zhenhui

Volltext

Physics informed neural network can retrieve rate and state friction parameters from acoustic monitoring of laboratory stick-slip experiments von Borate, Prabhav, Rivière, Jacques, Marty, Samson, Marone, Chris, Kifer, Daniel, Shokouhi, Parisa

Volltext

Pufferfish: A Framework for Mathematical Privacy Definitions von KIFER, Daniel, MACHANAVAJJHALA, Ashwin

Volltext

Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism von Wilkins, Arjun, Kifer, Daniel, Zhang, Danfeng, Karrer, Brian

Volltext

Reconstruction Attacks on Aggressive Relaxations of Differential Privacy von Protivash, Prottay, Durrell, John, Kifer, Daniel, Ding, Zeyu, Zhang, Danfeng

Volltext

Differentially Private Confidence Intervals for Empirical Risk Minimization von Wang, Yue, Kifer, Daniel, Lee, Jaewoo

Volltext

Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates von Nagendra, Savinay, Kifer, Daniel, Mirus, Benjamin, Pei, Te, Lawson, Kathryn, Manjunatha, Srikanth Banagere, Li, Weixin, Nguyen, Hien, Qiu, Tong, Tran, Sarah, Shen, Chaopeng

Volltext

Geographic Spines in the 2020 Census Disclosure Avoidance System von Cumings-Menon, Ryan, Ashmead, Robert, Kifer, Daniel, Leclerc, Philip, Ocker, Jeffrey, Ratcliffe, Michael, Zhuravlev, Pavel, Abowd, John

Volltext

Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short‐Term Memory Models for Soil Moisture Predictions von Fang, Kuai, Kifer, Daniel, Lawson, Kathryn, Shen, Chaopeng

Volltext

Statistical Approximating Distributions Under Differential Privacy von Wang, Yue, Kifer, Daniel, Lee, Jaewoo, Karwa, Vishesh

Volltext

The 2020 Census Disclosure Avoidance System TopDown Algorithm von John Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, Philip Leclerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, Matthew Spence, Pavel Zhuravlev

Volltext

The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology von Fang, Kuai, Kifer, Daniel, Lawson, Kathryn, Feng, Dapeng, Shen, Chaopeng

Volltext

L -diversity: Privacy beyond k -anonymity von Machanavajjhala, Ashwin, Kifer, Daniel, Gehrke, Johannes, Venkitasubramaniam, Muthuramakrishnan

Volltext

Physics-informed deep learning for prediction of CO2 storage site response von Shokouhi, Parisa, Kumar, Vikas, Prathipati, Sumedha, Hosseini, Seyyed A., Giles, Clyde Lee, Kifer, Daniel

Volltext

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations von Ororbia, Alexander, Mali, Ankur, Giles, C. Lee, Kifer, Daniel

Volltext

Answering Private Linear Queries Adaptively Using the Common Mechanism von Xiao, Yingtai, Wang, Guanhong, Zhang, Danfeng, Kifer, Daniel

Volltext

The Data Synergy Effects of Time-Series Deep Learning Models in Hydrology von Fang, Kuai, Kifer, Daniel, Lawson, Kathryn, Feng, Dapeng, Shen, Chaopeng

Volltext