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# Joan Bruna

Assistant Professor

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Joan Bruna is an Assistant Professor at Courant Institute, New York University (NYU), in the Department of Computer Science, Department of Mathematics (affiliated) and the Center for Data Science, since Fall 2016. He belongs to the CILVR group and to the Math and Data groups. From 2015 to 2016, he was Assistant Professor of Statistics at UC Berkeley and part of BAIR (Berkeley AI Research). Before that, he worked at FAIR (Facebook AI Research) in New York. Prior to that, he was a postdoctoral researcher at Courant Institute, NYU. Before his PhD he was a Research Engineer at a semi-conductor company, developing real-time video processing algorithms. Even before that, he did a MsC at Ecole Normale Superieure de Cachan in Applied Mathematics (MVA) and a BA and MS at UPC (Universitat Politecnica de Catalunya, Barcelona) in both Mathematics and Telecommunication Engineering. For his research contributions, he has been awarded a Sloan Research Fellowship (2018), a NSF CAREER Award (2019) and a best paper award at ICMLA (2018).

## Papers63 papers

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Journal of Mathematical Imaging and Vision, no. 3 (2020): 277-278

ICLR, (2020)

international conference on machine learning, (2019)

Journal of Machine Learning Research, no. 133 (2019): 1-34

Bibtex

NeurIPS, pp.8036-8046, (2019)

Cited by

**5**EIBibtexinternational conference on machine learning, pp.9689-9698, (2019)

NeurIPS, (2019): 10310-10319

NeurIPS, (2019): 15868-15876

arXiv: Machine Learning, (2019)

arXiv: Learning, (2019)

arXiv: Learning, (2019)

William Hamilton,Frederic Sala,Peter Battaglia,Joan Bruna, Thomas Kipf,Yujia Li,Razvan Pascanu, Adriana Romero, Petar Veličković, Marinka Zitnik, Maximilian Nickel, Beliz Gunel

international conference on learning representations, (2019)

Bibtex

arXiv: Machine Learning, (2019)

international conference on learning representations, (2019)

CVPR, (2019)

ICLR, (2019)

arXiv: Optimization and Control, (2018)

Cited by

**2**Bibtex Cinjon Resnick, Wes Eldridge, David Ha, Denny Britz,Jakob Foerster,Julian Togelius,Kyunghyun Cho,Joan Bruna

AIIDE Workshops, (2018)

international conference on learning representations, (2018)

Mathieu Andreux, Tomás Angles,Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka,Stéphane Mallat,Joakim Andén,Eugene Belilovsky,Joan Bruna, Vincent Lostanlen

arXiv: Learning, (2018)

arXiv: Artificial Intelligence, (2018)

DSW, pp.229-233, (2018)

arXiv: Mathematical Physics, (2018)

Bibtex

CVPR, (2018)

arXiv: Learning, (2018)

arXiv: Optimization and Control, (2018)

Nicholas Choma, Federico Monti,Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi,Prabhat,Wahid Bhimji,Michael M. Bronstein,Spencer R. Klein,Joan Bruna

ICMLA, (2018)

arXiv: Machine Learning, (2017)

arXiv: Learning, (2017)

IEEE Signal Process. Mag., no. 4 (2017)

Neural Computation, no. 5 (2016): 815-825

arXiv: Computational Engineering, Finance, and Science, (2016)

IEEE International Conference on Acoustics, Speech and SP, (2015)

international conference on learning representations, (2015)

CoRR, (2015)

CoRR, (2015)

international conference on learning representations, (2015)

Cited by

**133**BibtexInternational Conference on Learning Representations, (2015)

ICML, (2014)

international conference on learning representations, (2014)

ICML, pp.307-315, (2014)

international conference on learning representations, (2014)

Annals of Statistics, (2013)

CoRR, (2013)

International Conference on Learning Representations, (2013)

CoRR, (2013)

(2013)

Cited by

**11**Bibtex (2012)

Cited by

**2**BibtexIthaca, NY, (2011): 99-104

CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp.1561-1566, (2011)

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