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7692 Publications


2021 | Published | Conference Paper | IST-REx-ID: 14179 | OA
Kügelgen, Julius von, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, and Francesco Locatello. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” In Advances in Neural Information Processing Systems, 34:16451–67, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 14180 | OA
Rahaman, Nasim, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, and Bernhard Schölkopf. “Dynamic Inference with Neural Interpreters.” In Advances in Neural Information Processing Systems, 34:10985–98, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14181 | OA
Dresdner, Gideon, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, and Gunnar Rätsch. “Boosting Variational Inference with Locally Adaptive Step-Sizes.” In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2337–43. International Joint Conferences on Artificial Intelligence, 2021. https://doi.org/10.24963/ijcai.2021/322.
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2021 | Published | Conference Paper | IST-REx-ID: 14182 | OA
Träuble, Frederik, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, and Peter Gehler. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” In 35th Conference on Neural Information Processing Systems, 34:116–28, 2021.
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2021 | Patent | IST-REx-ID: 14185 | OA
Weissenborn, Dirk, Jakob Uszkoreit, Thomas Unterthiner, Aravindh Mahendran, Francesco Locatello, Thomas Kipf, Georg Heigold, and Alexey Dosovitskiy. “Object-Centric Learning with Slot Attention,” 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Submitted | Preprint | IST-REx-ID: 14221 | OA
Locatello, Francesco. “Enforcing and Discovering Structure in Machine Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2111.13693.
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2021 | Published | Journal Article | IST-REx-ID: 17899 | OA
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.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 

2021 | Published | Journal Article | IST-REx-ID: 18192 | OA
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 | OA
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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2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
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: 18237 | OA
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 | OA
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 | OA
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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 18240 | OA
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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 18241 | OA
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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Book Chapter | IST-REx-ID: 18242 | OA
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 18244 | OA
Livne, Amir, Ziv Aviv, Shahaf Grofit, Alex M. Bronstein, and Ron Kimmel. “Do We Need Depth in State-Uf-the-Art Face Authentication?” In 2020 International Conference on 3D Vision (3DV). IEEE, 2021. https://doi.org/10.1109/3dv50981.2020.00099.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 12308 | OA
Verzobio, Matteo. “Primitive Divisors of Sequences Associated to Elliptic Curves with Complex Multiplication.” Research in Number Theory. Springer Nature, 2021. https://doi.org/10.1007/s40993-021-00267-9.
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2021 | Published | Journal Article | IST-REx-ID: 12309 | OA
Verzobio, Matteo. “Primitive Divisors of Elliptic Divisibility Sequences for Elliptic Curves with J=1728.” Acta Arithmetica. Institute of Mathematics, Polish Academy of Sciences, 2021. https://doi.org/10.4064/aa191016-30-7.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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