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9096 Publications


2021 | Journal Article | IST-REx-ID: 9698 | OA
Keith, John A., et al. “Combining Machine Learning and Computational Chemistry for Predictive Insights into Chemical Systems.” Chemical Reviews, vol. 121, no. 16, American Chemical Society, 2021, pp. 9816–72, doi:10.1021/acs.chemrev.1c00107.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2021 | Journal Article | IST-REx-ID: 12309 | OA
Verzobio, Matteo. “Primitive Divisors of Elliptic Divisibility Sequences for Elliptic Curves with J=1728.” Acta Arithmetica, vol. 198, no. 2, Institute of Mathematics, Polish Academy of Sciences, 2021, pp. 129–68, doi:10.4064/aa191016-30-7.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Journal Article | IST-REx-ID: 12308 | OA
Verzobio, Matteo. “Primitive Divisors of Sequences Associated to Elliptic Curves with Complex Multiplication.” Research in Number Theory, vol. 7, no. 2, 37, Springer Nature, 2021, doi:10.1007/s40993-021-00267-9.
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2021 | Conference Abstract | IST-REx-ID: 12909 | OA
Schlögl, Alois, et al. “Managing Software on a Heterogenous HPC Cluster.” ASHPC21 – Austrian-Slovenian HPC Meeting 2021, University of Ljubljana, 2021, p. 5, doi:10.3359/2021hpc.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2021 | Conference Paper | IST-REx-ID: 11458 | OA
Peste, Elena-Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Journal Article | IST-REx-ID: 10585 | OA
Brooks, Morris, et al. “Emergence of Anyons on the Two-Sphere in Molecular Impurities.” Atoms, vol. 9, no. 4, 106, MDPI, 2021, doi:10.3390/atoms9040106.
[Published Version] View | Files available | DOI | arXiv
 

2021 | Conference Paper | IST-REx-ID: 13147 | OA
Alimisis, Foivos, et al. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 196–206.
[Published Version] View | Files available | arXiv
 

2021 | Conference Paper | IST-REx-ID: 13146 | OA
Nguyen, Quynh, et al. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 8119–29.
[Published Version] View | Files available | arXiv
 

2021 | Conference Paper | IST-REx-ID: 10665 | OA
Henzinger, Thomas A., et al. “Scalable Verification of Quantized Neural Networks.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 5A, AAAI Press, 2021, pp. 3787–95.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 10667 | OA
Lechner, Mathias, et al. “Infinite Time Horizon Safety of Bayesian Neural Networks.” 35th Conference on Neural Information Processing Systems, 2021, doi:10.48550/arXiv.2111.03165.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 

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