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10572 Publications
2021 | Published | Journal Article | IST-REx-ID: 8429 | 
Patxot, Marion, Daniel Trejo Banos, Athanasios Kousathanas, Etienne J Orliac, Sven E Ojavee, Gerhard Moser, Julia Sidorenko, et al. “Probabilistic Inference of the Genetic Architecture Underlying Functional Enrichment of Complex Traits.” Nature Communications. Springer Nature, 2021. https://doi.org/10.1038/s41467-021-27258-9.
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2021 | Published | Journal Article | IST-REx-ID: 18192 |
Bohrdt, A., S. Kim, A. Lukin, M. Rispoli, R. Schittko, M. Knap, M. Greiner, and Julian Leonard. “Analyzing Nonequilibrium Quantum States through Snapshots with Artificial Neural Networks.” Physical Review Letters. American Physical Society, 2021. https://doi.org/10.1103/physrevlett.127.150504.
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2021 | Published | Journal Article | IST-REx-ID: 18193 |
Palm, F. A., M. Buser, Julian Leonard, M. Aidelsburger, U. Schollwöck, and F. Grusdt. “Bosonic Pfaffian State in the Hofstadter-Bose-Hubbard Model.” Physical Review B. American Physical Society, 2021. https://doi.org/10.1103/physrevb.103.l161101.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 18233 |
Nahshan, Yury, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, and Avi Mendelson. “Loss Aware Post-Training Quantization.” Machine Learning. Springer Nature, 2021. https://doi.org/10.1007/s10994-021-06053-z.
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2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, Chaim, Evgenii Zheltonozhkii, Tal Rozen, Natan Liss, Yoav Chai, Eli Schwartz, Raja Giryes, Alex M. Bronstein, and Avi Mendelson. “NICE: Noise Injection and Clamping Estimation for Neural Network Quantization.” Mathematics. MDPI, 2021. https://doi.org/10.3390/math9172144.
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2021 | Published | Journal Article | IST-REx-ID: 18235 |
Doveh, Sivan, Eli Schwartz, Chao Xue, Rogerio Feris, Alex M. Bronstein, Raja Giryes, and Leonid Karlinsky. “MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification.” Pattern Recognition Letters. Elsevier, 2021. https://doi.org/10.1016/j.patrec.2021.05.010.
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2021 | Published | Journal Article | IST-REx-ID: 18236
Elul, Yonatan, Aviv A. Rosenberg, Assaf Schuster, Alex M. Bronstein, and Yael Yaniv. “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, 2021. https://doi.org/10.1073/pnas.2020620118.
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2021 | Published | Journal Article | IST-REx-ID: 18237 |
Baskin, Chaim, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, and Avi Mendelson. “UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks.” ACM Transactions on Computer Systems. Association for Computing Machinery, 2021. https://doi.org/10.1145/3444943.
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2021 | Published | Journal Article | IST-REx-ID: 18238 |
Karbachevsky, Alex, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, and Avi Mendelson. “Early-Stage Neural Network Hardware Performance Analysis.” Sustainability. MDPI, 2021. https://doi.org/10.3390/su13020717.
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2021 | Published | Conference Paper | IST-REx-ID: 18239 |
Arbelle, Assaf, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, et al. “Detector-Free Weakly Supervised Grounding by Separation.” In IEEE/CVF International Conference on Computer Vision, Vol. 15. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/iccv48922.2021.00182.
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2021 | Published | Conference Paper | IST-REx-ID: 18240 |
Dahary, Omer, Matan Jacoby, and Alex M. Bronstein. “Digital Gimbal: End-to-End Deep Image Stabilization with Learnable Exposure Times.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vol. 38. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/cvpr46437.2021.01176.
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2021 | Published | Conference Paper | IST-REx-ID: 18241 |
Weiss, Tomer, Nissim Peretz, Sanketh Vedula, Arie Feuer, and Alex M. Bronstein. “Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging.” In 31st International Workshop on Machine Learning for Signal Processing, Vol. 4. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/mlsp52302.2021.9596168.
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| arXiv
2021 | Published | Book Chapter | IST-REx-ID: 18242 |
Weiss, Tomer, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, and Alex M. Bronstein. “Towards Learned Optimal Q-Space Sampling in Diffusion MRI.” In Computational Diffusion MRI, edited by Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, and Fan Zhang, 13–28. Cham: Springer Nature, 2021. https://doi.org/10.1007/978-3-030-73018-5_2.
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2021 | Published | Journal Article | IST-REx-ID: 6965 |
Rychlewicz, Kamil P. “The Positivity of Local Equivariant Hirzebruch Class for Toric Varieties.” Bulletin of the London Mathematical Society. Wiley, 2021. https://doi.org/10.1112/blms.12442.
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2021 | Published | Technical Report | IST-REx-ID: 6995 |
Samarasinghe, Ranmal A., Osvaldo Miranda, Jessie E. Buth, Simon Mitchell, Isabella Ferando, Momoko Watanabe, Arinnae Kurdian, et al. Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids. Vol. 24. Springer Nature, 2021. https://doi.org/10.1038/s41593-021-00906-5.
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2021 | Published | Journal Article | IST-REx-ID: 17899 |
Zhang, Boyuan, Marc H. Garner, Liang Li, Luis M. Campos, Gemma C. Solomon, and Latha Venkataraman. “Destructive Quantum Interference in Heterocyclic Alkanes: The Search for Ultra-Short Molecular Insulators.” Chemical Science. Royal Society of Chemistry, 2021. https://doi.org/10.1039/d1sc02287c.
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2021 | Published | Journal Article | IST-REx-ID: 17900
Greenwald, Julia E., Joseph Cameron, Neil J. Findlay, Tianren Fu, Suman Gunasekaran, Peter J. Skabara, and Latha Venkataraman. “Highly Nonlinear Transport across Single-Molecule Junctions via Destructive Quantum Interference.” Nature Nanotechnology. Springer Nature, 2021. https://doi.org/10.1038/s41565-020-00807-x.
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2021 | Published | Journal Article | IST-REx-ID: 17877
Stone, Ilana, Rachel L. Starr, Yaping Zang, Colin Nuckolls, Michael L. Steigerwald, Tristan H. Lambert, Xavier Roy, and Latha Venkataraman. “A Single-Molecule Blueprint for Synthesis.” Nature Reviews Chemistry. Springer Nature, 2021. https://doi.org/10.1038/s41570-021-00316-y.
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2021 | Published | Journal Article | IST-REx-ID: 17876
Fu, Tianren, Kathleen Frommer, Colin Nuckolls, and Latha Venkataraman. “Single-Molecule Junction Formation in Break-Junction Measurements.” The Journal of Physical Chemistry Letters. American Chemical Society, 2021. https://doi.org/10.1021/acs.jpclett.1c03160.
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2021 | Published | Journal Article | IST-REx-ID: 17901
Medina Rivero, Samara, Paloma García Arroyo, Liang Li, Suman Gunasekaran, Thijs Stuyver, María José Mancheño, Mercedes Alonso, Latha Venkataraman, José L. Segura, and Juan Casado. “Single-Molecule Conductance in a Unique Cross-Conjugated Tetra(Aminoaryl)Ethene.” Chemical Communications. Royal Society of Chemistry, 2021. https://doi.org/10.1039/d0cc07124b.
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