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10552 Publications
2021 | Published | Journal Article | IST-REx-ID: 8198 | 
Diringer, A. A., & Gulden, T. (2021). Impact of drive harmonics on the stability of Floquet many-body localization. Physical Review B. American Physical Society. https://doi.org/10.1103/PhysRevB.103.214204
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2021 | Published | Journal Article | IST-REx-ID: 8248 |
Boissonnat, J.-D., Dyer, R., Ghosh, A., Lieutier, A., & Wintraecken, M. (2021). Local conditions for triangulating submanifolds of Euclidean space. Discrete and Computational Geometry. Springer Nature. https://doi.org/10.1007/s00454-020-00233-9
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2021 | Published | Journal Article | IST-REx-ID: 8253 |
Zenke, F., & Vogels, T. P. (2021). The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks. Neural Computation. MIT Press. https://doi.org/10.1162/neco_a_01367
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2021 | Published | Journal Article | IST-REx-ID: 8317 |
Aichholzer, O., Akitaya, H. A., Cheung, K. C., Demaine, E. D., Demaine, M. L., Fekete, S. P., … Schmidt, C. (2021). Folding polyominoes with holes into a cube. Computational Geometry: Theory and Applications. Elsevier. https://doi.org/10.1016/j.comgeo.2020.101700
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2021 | Published | Journal Article | IST-REx-ID: 8338 |
Akopyan, A., Bobenko, A. I., Schief, W. K., & Techter, J. (2021). On mutually diagonal nets on (confocal) quadrics and 3-dimensional webs. Discrete and Computational Geometry. Springer Nature. https://doi.org/10.1007/s00454-020-00240-w
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2021 | Published | Journal Article | IST-REx-ID: 8373 |
Pitrik, J., & Virosztek, D. (2021). A divergence center interpretation of general symmetric Kubo-Ando means, and related weighted multivariate operator means. Linear Algebra and Its Applications. Elsevier. https://doi.org/10.1016/j.laa.2020.09.007
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2021 | Published | Journal Article | IST-REx-ID: 8429 |
Patxot, M., Trejo Banos, D., Kousathanas, A., Orliac, E. J., Ojavee, S. E., Moser, G., … Robinson, M. R. (2021). Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-021-27258-9
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2021 | Published | Journal Article | IST-REx-ID: 8430 |
Ojavee, S. E., Kousathanas, A., Trejo Banos, D., Orliac, E. J., Patxot, M., Lall, K., … Robinson, M. R. (2021). Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis. Nature Communications. Nature Research. https://doi.org/10.1038/s41467-021-22538-w
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2021 | Published | Journal Article | IST-REx-ID: 18192 |
Bohrdt, A., Kim, S., Lukin, A., Rispoli, M., Schittko, R., Knap, M., … Leonard, J. (2021). Analyzing nonequilibrium quantum states through snapshots with artificial neural networks. Physical Review Letters. American Physical Society. https://doi.org/10.1103/physrevlett.127.150504
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2021 | Published | Journal Article | IST-REx-ID: 18193 |
Palm, F. A., Buser, M., Leonard, J., Aidelsburger, M., Schollwöck, U., & Grusdt, F. (2021). Bosonic Pfaffian state in the Hofstadter-Bose-Hubbard model. Physical Review B. American Physical Society. https://doi.org/10.1103/physrevb.103.l161101
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2021 | Published | Journal Article | IST-REx-ID: 18233 |
Nahshan, Y., Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Bronstein, A. M., & Mendelson, A. (2021). Loss aware post-training quantization. Machine Learning. Springer Nature. https://doi.org/10.1007/s10994-021-06053-z
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2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, C., Zheltonozhkii, E., Rozen, T., Liss, N., Chai, Y., Schwartz, E., … Mendelson, A. (2021). NICE: Noise Injection and Clamping Estimation for neural network quantization. Mathematics. MDPI. https://doi.org/10.3390/math9172144
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2021 | Published | Journal Article | IST-REx-ID: 18235 |
Doveh, S., Schwartz, E., Xue, C., Feris, R., Bronstein, A. M., Giryes, R., & Karlinsky, L. (2021). MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2021.05.010
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2021 | Published | Journal Article | IST-REx-ID: 18236
Elul, Y., Rosenberg, A. A., Schuster, A., Bronstein, A. M., & Yaniv, Y. (2021). Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning–based ECG analysis. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2020620118
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2021 | Published | Journal Article | IST-REx-ID: 18237 |
Baskin, C., Liss, N., Schwartz, E., Zheltonozhskii, E., Giryes, R., Bronstein, A. M., & Mendelson, A. (2021). UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks. ACM Transactions on Computer Systems. Association for Computing Machinery. https://doi.org/10.1145/3444943
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2021 | Published | Journal Article | IST-REx-ID: 18238 |
Karbachevsky, A., Baskin, C., Zheltonozhskii, E., Yermolin, Y., Gabbay, F., Bronstein, A. M., & Mendelson, A. (2021). Early-stage neural network hardware performance analysis. Sustainability. MDPI. https://doi.org/10.3390/su13020717
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2021 | Published | Conference Paper | IST-REx-ID: 18239 |
Arbelle, A., Doveh, S., Alfassy, A., Shtok, J., Lev, G., Schwartz, E., … Karlinsky, L. (2021). Detector-free weakly supervised grounding by separation. In IEEE/CVF International Conference on Computer Vision (Vol. 15). Montreal, Canada: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iccv48922.2021.00182
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2021 | Published | Conference Paper | IST-REx-ID: 18240 |
Dahary, O., Jacoby, M., & Bronstein, A. M. (2021). Digital gimbal: End-to-end deep image stabilization with learnable exposure times. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (Vol. 38). Nashville, TN, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr46437.2021.01176
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2021 | Published | Conference Paper | IST-REx-ID: 18241 |
Weiss, T., Peretz, N., Vedula, S., Feuer, A., & Bronstein, A. M. (2021). Joint optimization of system design and reconstruction in MIMO radar imaging. In 31st International Workshop on Machine Learning for Signal Processing (Vol. 4). Gold Coast, Australia: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/mlsp52302.2021.9596168
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2021 | Published | Book Chapter | IST-REx-ID: 18242 |
Weiss, T., Vedula, S., Senouf, O., Michailovich, O., & Bronstein, A. M. (2021). Towards learned optimal q-space sampling in diffusion MRI. In N. Gyori, J. Hutter, V. Nath, M. Palombo, M. Pizzolato, & F. Zhang (Eds.), Computational Diffusion MRI (pp. 13–28). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-73018-5_2
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