Jonathan Sauder

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Signal Recovery

Unsupervised Learning

Weakly Supervised

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Jonathan Sauder, Guilhem Banc-Prandi, Anders Meibom, Devis Tuia
Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning. CoRR (2023)
Jonathan Sauder, Martin Genzel, Peter Jung
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery. CoRR (2022)
Jonathan Sauder, Martin Genzel, Peter Jung
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Freya Behrens, Jonathan Sauder, Peter Jung
Neurally Augmented ALISTA. ICLR (2021)
Jonathan Sauder, Ting Hu, Xiaoyin Che, Gonçalo Mordido, Haojin Yang, Christoph Meinel
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation. LREC (2020)
Freya Behrens, Jonathan Sauder, Peter Jung
Neurally Augmented ALISTA. CoRR (2020)
Eva Peral, Austin Williams, Simone Tanelli, Shannon Statham, Shivani Joshi, Eastwood Im, Travis Imken, Douglas Price, Jonathan Sauder, Nacer E. Chahat
Raincube - A New Paradigm to Observe Weather Processes. IGARSS (2019)
Jonathan Sauder, Bjarne Sievers
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space. NeurIPS (2019)
Jonathan Sauder, Bjarne Sievers
Context Prediction for Unsupervised Deep Learning on Point Clouds. CoRR (2019)
Eva Peral, Shannon Statham, Eastwood Im, Simone Tanelli, Travis Imken, Douglas Price, Jonathan Sauder, Nacer E. Chahat, Austin Williams
The Radar-in-a-Cubesat (RAINCUBE) and Measurement Results. IGARSS (2018)