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11357 Publications


2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
Deformable shape completion with graph convolutional autoencoders
O. Litany, A.M. Bronstein, M. Bronstein, A. Makadia, in:, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
Class-aware fully convolutional Gaussian and Poisson denoising
T. Remez, O. Litany, R. Giryes, A.M. Bronstein, IEEE Transactions on Image Processing 27 (2018) 5707–5722.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Paper | IST-REx-ID: 18272
The learned inexact project gradient descent algorithm
R. Giryes, Y.C. Eldar, A.M. Bronstein, G. Sapiro, in:, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2018.
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
Streaming architecture for large-scale quantized neural networks on an FPGA-based dataflow platform
C. Baskin, N. Liss, E. Zheltonozhskii, A.M. Bronstein, A. Mendelson, in:, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2018.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Paper | IST-REx-ID: 18274 | OA
NetLSD: Hearing the shape of a graph
A. Tsitsulin, D. Mottin, P. Karras, A.M. Bronstein, E. Müller, in:, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2018, pp. 2347–2356.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
The main role of Srs2 in DNA repair depends on its helicase activity, rather than on its interactions with PCNA or Rad51
A.M. Bronstein, L. Gershon, G. Grinberg, E. Alonso-Perez, M. Kupiec, MBio 9 (2018).
[Published Version] View | DOI | Download Published Version (ext.)
 

2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
Efficient deformable shape correspondence via kernel matching
M. Vestner, Z. Lahner, A. Boyarski, O. Litany, R. Slossberg, T. Remez, E. Rodola, A.M. Bronstein, M. Bronstein, R. Kimmel, D. Cremers, in:, 2017 International Conference on 3D Vision (3DV), IEEE, 2018, pp. 517–526.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
Tight regulation of Srs2 helicase activity is crucial for proper functioning of DNA Repair mechanisms
A.M. Bronstein, S. Bramson, K. Shemesh, B. Liefshitz, M. Kupiec, G3: Genes, Genomes, Genetics 8 (2018) 1615–1626.
[Published Version] View | DOI | Download Published Version (ext.)
 

2018 | Published | Journal Article | IST-REx-ID: 18278 | OA
Tradeoffs between convergence speed and reconstruction accuracy in inverse problems
R. Giryes, Y.C. Eldar, A.M. Bronstein, G. Sapiro, IEEE Transactions on Signal Processing 66 (2018) 1676–1690.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Poster | IST-REx-ID: 18279 | OA
Functional maps on product manifolds
E. Rodola, Z. Lähner, A.M. Bronstein, M.M. Bronstein, J. Solomon, Functional Maps on Product Manifolds, The Eurographics Association, 2018.
View | DOI | Download None (ext.)
 

2018 | Published | Book Chapter | IST-REx-ID: 18281
Partial Single- and Multishape Dense Correspondence Using Functional Maps
O. Litany, E. Rodolà, A.M. Bronstein, M. Bronstein, D. Cremers, in:, R. Kimmel, X.-C. Tai (Eds.), Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1, 1st ed., Elsevier, Amsterdam, 2018, pp. 55–90.
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18282
ForestHash: Semantic hashing with shallow random forests and tiny convolutional networks
Q. Qiu, J. Lezama, A.M. Bronstein, G. Sapiro, in:, European Conference on Computer Vision, Springer Nature, 2018.
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18283
High frame-rate cardiac ultrasound imaging with deep learning
O. Senouf, S. Vedula, G. Zurakhov, A.M. Bronstein, M. Zibulevsky, O. Michailovich, D. Adam, D. Blondheim, in:, International Conference on Medical Image Computing and Computer Assisted Intervention, Springer Nature, 2018, pp. 126–134.
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18284
High quality ultrasonic multi-line transmission through deep learning
S. Vedula, O. Senouf, G. Zurakhov, A.M. Bronstein, M. Zibulevsky, O. Michailovich, D. Adam, D. Gaitini, in:, First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Springer Nature, 2018, pp. 147–155.
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18285
Deep learned phase mask for single image depth estimation and 3D scanning
H. Haim, S. Elmalem, R. Giryes, A.M. Bronstein, E. Marom, in:, Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, PcAOP), OSA, 2018.
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2018 | Published | Conference Paper | IST-REx-ID: 183
Localizing faults in simulink/stateflow models with STL
E. Bartocci, T. Ferrere, N. Manjunath, D. Nickovic, in:, Association for Computing Machinery, 2018, pp. 197–206.
View | DOI | WoS
 

2018 | Published | Conference Paper | IST-REx-ID: 184 | OA
Shellability is NP-complete
X. Goaoc, P. Paták, Z. Patakova, M. Tancer, U. Wagner, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, p. 41:1-41:16.
[Published Version] View | Files available | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18402
Deep class-aware image denoising
T. Remez, O. Litany, R. Giryes, A.M. Bronstein, in:, 2017 IEEE International Conference on Image Processing (ICIP), IEEE, 2018, pp. 1895–1899.
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 185 | OA
Hanani-Tutte for approximating maps of graphs
R. Fulek, J. Kynčl, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018.
[Published Version] View | Files available | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 186 | OA
The ℤ2-Genus of Kuratowski minors
R. Fulek, J. Kynčl, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, p. 40.1-40.14.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 

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