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660 Publications
2021 | Journal Article | IST-REx-ID: 9698 |
Combining machine learning and computational chemistry for predictive insights into chemical systems
J.A. Keith, V. Valentin Vassilev-Galindo, B. Cheng, S. Chmiela, M. Gastegger, K.-R. Müller, A. Tkatchenko, Chemical Reviews 121 (2021) 9816–9872.
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J.A. Keith, V. Valentin Vassilev-Galindo, B. Cheng, S. Chmiela, M. Gastegger, K.-R. Müller, A. Tkatchenko, Chemical Reviews 121 (2021) 9816–9872.
2021 | Journal Article | IST-REx-ID: 12309 |
Primitive divisors of elliptic divisibility sequences for elliptic curves with j=1728
M. Verzobio, Acta Arithmetica 198 (2021) 129–168.
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M. Verzobio, Acta Arithmetica 198 (2021) 129–168.
2021 | Journal Article | IST-REx-ID: 12308 |
Primitive divisors of sequences associated to elliptic curves with complex multiplication
M. Verzobio, Research in Number Theory 7 (2021).
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M. Verzobio, Research in Number Theory 7 (2021).
2021 | Conference Abstract | IST-REx-ID: 12909 |
Managing software on a heterogenous HPC cluster
A. Schlögl, S. Elefante, A. Hornoiu, S. Stadlbauer, in:, ASHPC21 – Austrian-Slovenian HPC Meeting 2021, University of Ljubljana, 2021, p. 5.
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A. Schlögl, S. Elefante, A. Hornoiu, S. Stadlbauer, in:, ASHPC21 – Austrian-Slovenian HPC Meeting 2021, University of Ljubljana, 2021, p. 5.
2021 | Conference Paper | IST-REx-ID: 11458 |
AC/DC: Alternating Compressed/DeCompressed training of deep neural networks
E.-A. Peste, E.B. Iofinova, A. Vladu, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Curran Associates, 2021, pp. 8557–8570.
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E.-A. Peste, E.B. Iofinova, A. Vladu, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Curran Associates, 2021, pp. 8557–8570.
2021 | Journal Article | IST-REx-ID: 10585 |
Emergence of anyons on the two-sphere in molecular impurities
M. Brooks, M. Lemeshko, D. Lundholm, E. Yakaboylu, Atoms 9 (2021).
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M. Brooks, M. Lemeshko, D. Lundholm, E. Yakaboylu, Atoms 9 (2021).
2021 | Conference Paper | IST-REx-ID: 13147 |
Communication-efficient distributed optimization with quantized preconditioners
F. Alimisis, P. Davies, D.-A. Alistarh, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 196–206.
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F. Alimisis, P. Davies, D.-A. Alistarh, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 196–206.
2021 | Conference Paper | IST-REx-ID: 13146 |
Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks
Q. Nguyen, M. Mondelli, G. Montufar, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 8119–8129.
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Q. Nguyen, M. Mondelli, G. Montufar, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 8119–8129.
2021 | Conference Paper | IST-REx-ID: 10665 |
Scalable verification of quantized neural networks
T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795.
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T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795.
2021 | Conference Paper | IST-REx-ID: 10667 |
Infinite time horizon safety of Bayesian neural networks
M. Lechner, Ð. Žikelić, K. Chatterjee, T.A. Henzinger, in:, 35th Conference on Neural Information Processing Systems, 2021.
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M. Lechner, Ð. Žikelić, K. Chatterjee, T.A. Henzinger, in:, 35th Conference on Neural Information Processing Systems, 2021.