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10574 Publications


2020 | Published | Book Chapter | IST-REx-ID: 74 | OA
Akopyan, Arseniy, Gromov's waist of non-radial Gaussian measures and radial non-Gaussian measures. Geometric Aspects of Functional Analysis 2256. 2020
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2020 | Published | Journal Article | IST-REx-ID: 9000 | OA
Grah, Rok, Nonequilibrium models of optimal enhancer function. Proceedings of the National Academy of Sciences of the United States of America 117 (50). 2020
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2020 | Published | Thesis | IST-REx-ID: 8155 | OA
Grah, R. (2020). Gene regulation across scales – how biophysical constraints shape evolution. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8155
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2020 | Published | Preprint | IST-REx-ID: 7675 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Normative models of enhancer function. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.04.08.029405
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2020 | Published | Journal Article | IST-REx-ID: 7909 | OA
Damiano-Guercio, J., Kurzawa, L., Müller, J., Dimchev, G. A., Schaks, M., Nemethova, M., … Faix, J. (2020). Loss of Ena/VASP interferes with lamellipodium architecture, motility and integrin-dependent adhesion. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.55351
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2020 | Published | Conference Paper | IST-REx-ID: 15074 | OA
Brandt, S., Keller, B., Rybicki, J., Suomela, J., & Uitto, J. (2020). Brief announcement: Efficient load-balancing through distributed token dropping. In 34th International Symposium on Distributed Computing (Vol. 179). Virtual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.DISC.2020.40
[Published Version] View | Files available | DOI | arXiv
 

2020 | Published | Journal Article | IST-REx-ID: 8220 | OA
Corominas-Murtra, B., Scheele, C. L. G. J., Kishi, K., Ellenbroek, S. I. J., Simons, B. D., Van Rheenen, J., & Hannezo, E. B. (2020). Stem cell lineage survival as a noisy competition for niche access. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences. https://doi.org/10.1073/pnas.1921205117
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2020 | Published | Journal Article | IST-REx-ID: 8077 | OA
Shehu, Y., & Iyiola, O. S. (2020). Projection methods with alternating inertial steps for variational inequalities: Weak and linear convergence. Applied Numerical Mathematics. Elsevier. https://doi.org/10.1016/j.apnum.2020.06.009
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2020 | Published | Journal Article | IST-REx-ID: 6593 | OA
Shehu, Y., Li, X.-H., & Dong, Q.-L. (2020). An efficient projection-type method for monotone variational inequalities in Hilbert spaces. Numerical Algorithms. Springer Nature. https://doi.org/10.1007/s11075-019-00758-y
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2020 | Published | Conference Paper | IST-REx-ID: 8725 | OA
Aksenov, V., Alistarh, D.-A., Drozdova, A., & Mohtashami, A. (2020). The splay-list: A distribution-adaptive concurrent skip-list. In 34th International Symposium on Distributed Computing (Vol. 179, p. 3:1-3:18). Freiburg, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.DISC.2020.3
[Published Version] View | Files available | DOI | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 8722 | OA
Li, S., Tal Ben-Nun, T. B.-N., Girolamo, S. D., Alistarh, D.-A., & Hoefler, T. (2020). Taming unbalanced training workloads in deep learning with partial collective operations. In Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (pp. 45–61). San Diego, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3332466.3374528
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2020 | Published | Conference Paper | IST-REx-ID: 7636 | OA
Brown, T. A., Prokopec, A., & Alistarh, D.-A. (2020). Non-blocking interpolation search trees with doubly-logarithmic running time. In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (pp. 276–291). San Diego, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3332466.3374542
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2020 | Published | Conference Paper | IST-REx-ID: 15086 | OA
Faghri, F., Tabrizian, I., Markov, I., Alistarh, D.-A., Roy, D., & Ramezani-Kebrya, A. (2020). Adaptive gradient quantization for data-parallel SGD. In Advances in Neural Information Processing Systems (Vol. 33). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 9632 | OA
Singh, Sidak Pal, WoodFisher: Efficient second-order approximation for neural network compression. 33. 2020
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2020 | Published | Conference Paper | IST-REx-ID: 9631 | OA
Aksenov, Vitaly, Scalable belief propagation via relaxed scheduling. 33. 2020
[Published Version] View | Download Published Version (ext.) | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 8272 | OA
Chatterjee, K., Katoen, J. P., Weininger, M., & Winkler, T. (2020). Stochastic games with lexicographic reachability-safety objectives. In International Conference on Computer Aided Verification (Vol. 12225, pp. 398–420). Springer Nature. https://doi.org/10.1007/978-3-030-53291-8_21
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 7955 | OA
Ashok, Pranav, Approximating values of generalized-reachability stochastic games. Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science . 2020
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2020 | Published | Conference Paper | IST-REx-ID: 10673 | OA
Hasani, R., Lechner, M., Amini, A., Rus, D., & Grosu, R. (2020). A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits. In Proceedings of the 37th International Conference on Machine Learning (pp. 4082–4093). Virtual.
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2020 | Published | Conference Paper | IST-REx-ID: 10672 | OA
Lechner, M. (2020). Learning representations for binary-classification without backpropagation. In 8th International Conference on Learning Representations. Virtual ; Addis Ababa, Ethiopia: ICLR.
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2020 | Published | Conference Paper | IST-REx-ID: 8623 | OA
Henzinger, T. A., & Sarac, N. E. (2020). Monitorability under assumptions. In Runtime Verification (Vol. 12399, pp. 3–18). Los Angeles, CA, United States: Springer Nature. https://doi.org/10.1007/978-3-030-60508-7_1
[Submitted Version] View | Files available | DOI | WoS
 

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