Stephan Rabanser

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 11

Top Topics

Neural Network Training

Tensor Decomposition

Statistical Approaches

Top Venues

Publications

Olive Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
Robust and Actively Secure Serverless Collaborative Learning. CoRR (2023)
Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
Robust and Actively Secure Serverless Collaborative Learning. NeurIPS (2023)
Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot
Training Private Models That Know What They Don't Know. NeurIPS (2023)
Stephan Rabanser, Anvith Thudi, Abhradeep Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot
Training Private Models That Know What They Don't Know. CoRR (2023)
Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A. Erdogdu, Nicolas Papernot
p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations. CoRR (2022)
Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Nicolas Papernot
Selective Classification Via Neural Network Training Dynamics. CoRR (2022)
Stephan Rabanser, Tim Januschowski, Kashif Rasul, Oliver Borchert, Richard Kurle, Jan Gasthaus, Michael Bohlke-Schneider, Nicolas Papernot, Valentin Flunkert
Intrinsic Anomaly Detection for Multi-Variate Time Series. CoRR (2022)
Stephan Rabanser, Tim Januschowski, Valentin Flunkert, David Salinas, Jan Gasthaus
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models. CoRR (2020)
Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift. NeurIPS (2019)
Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift. CoRR (2018)
Stephan Rabanser, Oleksandr Shchur, Stephan Günnemann
Introduction to Tensor Decompositions and their Applications in Machine Learning. CoRR (2017)