Runner-up (2nd place) at the Grand Challenge of the American Association of Physicists in Medicine: Deep Learning for Inverse Problems, Sparse-View Computed Tomography Image Reconstruction. June 2021

Our paper on measuring robustness in deep learning based compressive sensing is accepted as long talk (top 3\%) at ICML 2021, and our paper on data augmentation for signal recovery is accepted at ICML as well. Robustness work in the Stanford news. May 2021

Two abstracts 1,2 appear at the International Society for Magnetic Resonance in Medicine, both on Un-trained Networks for accelerated MRI; one as oral presentation.
May 2021

We appeared in the German TV series Galileo for our work on DNA storage, see video
January 2021


Co-organizer of the NeurIPS 2020 Workshop on Deep Learning and Inverse Problems; see program, papers and videos
December 2020

Paper on true random number generation with DNA in Nature Communications, press coverage by scitechdaily.com and chemistryviews.org
November 2020

Tutorial at the European School of Information Theory on deep learning for inverse problems
November 2020

Invited article in the German newspaper Frankfurter Allgemeine on DNA as an information technology
November 2020

New paper on low cost DNA data storage with advanced information reconstruction and error correction; featured in the German TV (BR), selected as Editor’s highlight under ``biotechnology and methods’’
October 2020

Invited talks at the Stanford SCIEN colloquium, the Stanford ISL colloquium, the CCI colloquium at USC, and the One World Seminar about signal recovery with un-trained neural networks video.
October 2019-August 2020

We stored the first original series for Netflix on DNA, see video
August 2020

Paper on image reconstruciton with un-trained networks at ICML 2020; video
May 2020

Paper on denoising and regularization via exploiting the structural bias of convolutional generators at ICLR 2020
January 2020

Our paper on reading and writing digital data in DNA on the cover of Nature Protocols
January 2020


Co-organizer of the NeurIPS 2019 Workshop on Deep Learning and Inverse Problems; see papers
December 2019

Paper on concise image representations from un-trained non-convolutional neural networks at ICLR
January 2019

Invited talks on the deep decoder at ITA, UIUC, UW, Math + X Symposium at Rice, see video November 2018 - January 2019


Stored Massive Attack’s Mezzanine Album in DNA. Featured by the news New Atlas, Fortune, Wired. This work is now featured in the Exhibition AI: more than human by the barbican in London. October 2018


DiffuserCam paper on 3D-lenseless imaging appears in Optica; OSA news article, Photonics news article
December 2017

Paper on the sample complexity of online one-class collaborative filtering at ICML
June 2017


BBC made a video about our work ``this is how to store human knowledge for eternity’’
October 2015

Our work on robust chemical preservation of digital information on DNA in silica with error-correcting codes is featured on the titlepage of Angewandte Chemie International Edition, as a research highlight in Nature, and received press coverage by CNN, NewScientist, Spektrum der Wissenschaft, the German-language edition of Scientific American, Neue Züricher Zeitung, and Tagesanzeiger, amongst others.
February 2015