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11357 Publications


2018 | Published | Journal Article | IST-REx-ID: 18 | OA
Kolmogorov V, Rolinek M. Superconcentrators of density 25.3. Ars Combinatoria. 2018;141(10):269-304.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 180 | OA
Lewi M, Lieb É, Seiringer R. Statistical mechanics of the uniform electron gas. Journal de l’Ecole Polytechnique - Mathematiques. 2018;5:79-116. doi:10.5802/jep.64
[Published Version] View | Files available | DOI | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 181 | OA
Erdös L, Krüger TH, Renfrew DT. Power law decay for systems of randomly coupled differential equations. SIAM Journal on Mathematical Analysis. 2018;50(3):3271-3290. doi: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. Coupling two order parameters in a quantum gas. Nature Materials. 2018;17(8):686-690. doi: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. Efficient parametric identification for STL. In: Proceedings of the 21st International Conference on Hybrid Systems. ACM; 2018:177-186. doi:10.1145/3178126.3178132
[Submitted Version] View | Files available | DOI | WoS
 

2018 | Published | Conference Paper | IST-REx-ID: 18270 | OA
Litany O, Bronstein AM, Bronstein M, Makadia A. Deformable shape completion with graph convolutional autoencoders. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE; 2018. doi: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 AM. Class-aware fully convolutional Gaussian and Poisson denoising. IEEE Transactions on Image Processing. 2018;27(11):5707-5722. doi:10.1109/tip.2018.2859044
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Conference Paper | IST-REx-ID: 18272
Giryes R, Eldar YC, Bronstein AM, Sapiro G. The learned inexact project gradient descent algorithm. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2018. doi:10.1109/icassp.2018.8462136
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2018 | Published | Conference Paper | IST-REx-ID: 18273 | OA
Baskin C, Liss N, Zheltonozhskii E, Bronstein AM, Mendelson A. 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). IEEE; 2018. doi: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 AM, Müller E. NetLSD: Hearing the shape of a graph. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM; 2018:2347-2356. doi:10.1145/3219819.3219991
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18275 | OA
Bronstein AM, Gershon L, Grinberg G, Alonso-Perez E, Kupiec M. The main role of Srs2 in DNA repair depends on its helicase activity, rather than on its interactions with PCNA or Rad51. mBio. 2018;9(4). doi:10.1128/mbio.01192-18
[Published Version] View | DOI | Download Published Version (ext.)
 

2018 | Published | Conference Paper | IST-REx-ID: 18276 | OA
Vestner M, Lahner Z, Boyarski A, et al. Efficient deformable shape correspondence via kernel matching. In: 2017 International Conference on 3D Vision (3DV). IEEE; 2018:517-526. doi:10.1109/3dv.2017.00065
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 | Published | Journal Article | IST-REx-ID: 18277 | OA
Bronstein AM, Bramson S, Shemesh K, Liefshitz B, Kupiec M. Tight regulation of Srs2 helicase activity is crucial for proper functioning of DNA Repair mechanisms. G3: Genes, Genomes, Genetics . 2018;8(5):1615-1626. doi: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 YC, Bronstein AM, Sapiro G. Tradeoffs between convergence speed and reconstruction accuracy in inverse problems. IEEE Transactions on Signal Processing. 2018;66(7):1676-1690. doi: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 AM, Bronstein MM, Solomon J. Functional Maps on Product Manifolds. The Eurographics Association; 2018. doi:10.2312/SGP.20181182
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2018 | Published | Book Chapter | IST-REx-ID: 18281
Litany O, Rodolà E, Bronstein AM, Bronstein M, Cremers D. Partial Single- and Multishape Dense Correspondence Using Functional Maps. In: Kimmel R, Tai X-C, eds. Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1. Vol 19. 1st ed. Amsterdam: Elsevier; 2018:55-90. doi:10.1016/bs.hna.2018.09.002
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2018 | Published | Conference Paper | IST-REx-ID: 18282
Qiu Q, Lezama J, Bronstein AM, Sapiro G. ForestHash: Semantic hashing with shallow random forests and tiny convolutional networks. In: European Conference on Computer Vision. Vol 11206. Springer Nature; 2018. doi:10.1007/978-3-030-01216-8_27
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2018 | Published | Conference Paper | IST-REx-ID: 18283
Senouf O, Vedula S, Zurakhov G, et al. High frame-rate cardiac ultrasound imaging with deep learning. In: International Conference on Medical Image Computing and Computer Assisted Intervention. Vol 11070. Springer Nature; 2018:126-134. doi:10.1007/978-3-030-00928-1_15
View | DOI
 

2018 | Published | Conference Paper | IST-REx-ID: 18284
Vedula S, Senouf O, Zurakhov G, et al. High quality ultrasonic multi-line transmission through deep learning. In: First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018. Vol 11074. Springer Nature; 2018:147-155. doi: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 AM, Marom E. 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. OSA; 2018. doi:10.1364/cosi.2018.cw3b.3
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