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11357 Publications


2018 | Published | Journal Article | IST-REx-ID: 18 | OA
Kolmogorov, V., & Rolinek, M. (2018). Superconcentrators of density 25.3. Ars Combinatoria. Charles Babbage Research Centre.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 180 | OA
Lewi, M., Lieb, É., & Seiringer, R. (2018). Statistical mechanics of the uniform electron gas. Journal de l’Ecole Polytechnique - Mathematiques. Ecole Polytechnique. https://doi.org/10.5802/jep.64
[Published Version] View | Files available | DOI | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 181 | OA
Erdös, L., Krüger, T. H., & Renfrew, D. T. (2018). Power law decay for systems of randomly coupled differential equations. SIAM Journal on Mathematical Analysis. Society for Industrial and Applied Mathematics . https://doi.org/10.1137/17M1143125
[Published Version] View | DOI | Download Published Version (ext.) | WoS | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18197 | OA
Morales, A., Zupancic, P., Leonard, J., Esslinger, T., & Donner, T. (2018). Coupling two order parameters in a quantum gas. Nature Materials. Springer Nature. https://doi.org/10.1038/s41563-018-0118-1
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Paper | IST-REx-ID: 182 | OA
Bakhirkin, A., Ferrere, T., & Maler, O. (2018). Efficient parametric identification for STL. In Proceedings of the 21st International Conference on Hybrid Systems (pp. 177–186). Porto, Portugal: ACM. https://doi.org/10.1145/3178126.3178132
[Submitted Version] View | Files available | DOI | WoS
 

2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
Litany, O., Bronstein, A. M., Bronstein, M., & Makadia, A. (2018). Deformable shape completion with graph convolutional autoencoders. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT, United States: IEEE. https://doi.org/10.1109/cvpr.2018.00202
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18271 | OA
Remez, T., Litany, O., Giryes, R., & Bronstein, A. M. (2018). Class-aware fully convolutional Gaussian and Poisson denoising. IEEE Transactions on Image Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tip.2018.2859044
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Paper | IST-REx-ID: 18272
Giryes, R., Eldar, Y. C., Bronstein, A. M., & Sapiro, G. (2018). The learned inexact project gradient descent algorithm. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, AB, Canada: IEEE. https://doi.org/10.1109/icassp.2018.8462136
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
Baskin, C., Liss, N., Zheltonozhskii, E., Bronstein, A. M., & Mendelson, A. (2018). Streaming architecture for large-scale quantized neural networks on an FPGA-based dataflow platform. In 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/ipdpsw.2018.00032
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Paper | IST-REx-ID: 18274 | OA
Tsitsulin, A., Mottin, D., Karras, P., Bronstein, A. M., & Müller, E. (2018). NetLSD: Hearing the shape of a graph. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 2347–2356). London, United Kingdom: ACM. https://doi.org/10.1145/3219819.3219991
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
Bronstein, A. M., Gershon, L., Grinberg, G., Alonso-Perez, E., & Kupiec, M. (2018). The main role of Srs2 in DNA repair depends on its helicase activity, rather than on its interactions with PCNA or Rad51. MBio. American Society for Microbiology. https://doi.org/10.1128/mbio.01192-18
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2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
Vestner, M., Lahner, Z., Boyarski, A., Litany, O., Slossberg, R., Remez, T., … Cremers, D. (2018). Efficient deformable shape correspondence via kernel matching. In 2017 International Conference on 3D Vision (3DV) (pp. 517–526). Qingdao, China: IEEE. https://doi.org/10.1109/3dv.2017.00065
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
Bronstein, A. M., Bramson, S., Shemesh, K., Liefshitz, B., & Kupiec, M. (2018). Tight regulation of Srs2 helicase activity is crucial for proper functioning of DNA Repair mechanisms. G3: Genes, Genomes, Genetics . Oxford University Press (OUP). https://doi.org/10.1534/g3.118.200181
[Published Version] View | DOI | Download Published Version (ext.)
 

2018 | Published | Journal Article | IST-REx-ID: 18278 | OA
Giryes, R., Eldar, Y. C., Bronstein, A. M., & Sapiro, G. (2018). Tradeoffs between convergence speed and reconstruction accuracy in inverse problems. IEEE Transactions on Signal Processing. IEEE. https://doi.org/10.1109/tsp.2018.2791945
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Poster | IST-REx-ID: 18279 | OA
Rodola, E., Lähner, Z., Bronstein, A. M., Bronstein, M. M., & Solomon, J. (2018). Functional maps on product manifolds. Symposium on Geometry Processing. The Eurographics Association. https://doi.org/10.2312/SGP.20181182
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2018 | Published | Book Chapter | IST-REx-ID: 18281
Litany, O., Rodolà, E., Bronstein, A. M., Bronstein, M., & Cremers, D. (2018). Partial Single- and Multishape Dense Correspondence Using Functional Maps. In R. Kimmel & X.-C. Tai (Eds.), Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1 (1st ed., Vol. 19, pp. 55–90). Amsterdam: Elsevier. https://doi.org/10.1016/bs.hna.2018.09.002
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2018 | Published | Conference Paper | IST-REx-ID: 18282
Qiu, Q., Lezama, J., Bronstein, A. M., & Sapiro, G. (2018). ForestHash: Semantic hashing with shallow random forests and tiny convolutional networks. In European Conference on Computer Vision (Vol. 11206). Munich, Germany: Springer Nature. https://doi.org/10.1007/978-3-030-01216-8_27
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18283
Senouf, O., Vedula, S., Zurakhov, G., Bronstein, A. M., Zibulevsky, M., Michailovich, O., … Blondheim, D. (2018). High frame-rate cardiac ultrasound imaging with deep learning. In International Conference on Medical Image Computing and Computer Assisted Intervention (Vol. 11070, pp. 126–134). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-030-00928-1_15
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18284
Vedula, S., Senouf, O., Zurakhov, G., Bronstein, A. M., Zibulevsky, M., Michailovich, O., … Gaitini, D. (2018). High quality ultrasonic multi-line transmission through deep learning. In First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018 (Vol. 11074, pp. 147–155). Granada, Spain: Springer Nature. https://doi.org/10.1007/978-3-030-00129-2_17
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2018 | Published | Conference Paper | IST-REx-ID: 18285
Haim, H., Elmalem, S., Giryes, R., Bronstein, A. M., & Marom, E. (2018). Deep learned phase mask for single image depth estimation and 3D scanning. In Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP) (Vol. Part F99-COSI 2018). Orlando, FL, United States: OSA. https://doi.org/10.1364/cosi.2018.cw3b.3
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