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.

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.

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.

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.

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.

The main role of Sr in DNA repair depends on its helicase activity, rather than on its interactions with PCNA or Ra
A.M. Bronstein, L. Gershon, G. Grinberg, E. Alonso-Perez, M. Kupiec, MBio 9 (2018).

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.

Tight regulation of Sr helicase activity is crucial for proper functioning of DNA Repair mechanisms
A.M. Bronstein, S. Bramson, K. Shemesh, B. Liefshitz, M. Kupiec, : Genes, Genomes, Genetics  8 (2018) 1615–1626.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Hanani-Tutte for approximating maps of graphs
R. Fulek, J. Kyndl, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018.

The 2-Genus of Kuratowski minors
R. Fulek, J. Kyndl, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, p. 40.1-40.14.