Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

9087 Publications


2021 | Conference Abstract | IST-REx-ID: 12909 | OA
Schlögl, A., Elefante, S., Hornoiu, A., & Stadlbauer, S. (2021). Managing software on a heterogenous HPC cluster. In ASHPC21 – Austrian-Slovenian HPC Meeting 2021 (p. 5). Virtual: University of Ljubljana. https://doi.org/10.3359/2021hpc
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2021 | Conference Paper | IST-REx-ID: 11458 | OA
Peste, E.-A., Iofinova, E. B., Vladu, A., & Alistarh, D.-A. (2021). AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 8557–8570). Virtual, Online: Curran Associates.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Journal Article | IST-REx-ID: 10585 | OA
Brooks, M., Lemeshko, M., Lundholm, D., & Yakaboylu, E. (2021). Emergence of anyons on the two-sphere in molecular impurities. Atoms. MDPI. https://doi.org/10.3390/atoms9040106
[Published Version] View | Files available | DOI | arXiv
 

2021 | Conference Paper | IST-REx-ID: 13147 | OA
Alimisis, F., Davies, P., & Alistarh, D.-A. (2021). Communication-efficient distributed optimization with quantized preconditioners. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 196–206). Virtual: ML Research Press.
[Published Version] View | Files available | arXiv
 

2021 | Conference Paper | IST-REx-ID: 13146 | OA
Nguyen, Q., Mondelli, M., & Montufar, G. (2021). Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 8119–8129). Virtual: ML Research Press.
[Published Version] View | Files available | arXiv
 

2021 | Conference Paper | IST-REx-ID: 10665 | OA
Henzinger, T. A., Lechner, M., & Zikelic, D. (2021). Scalable verification of quantized neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 3787–3795). Virtual: AAAI Press.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 10667 | OA
Lechner, M., Žikelić, Ð., Chatterjee, K., & Henzinger, T. A. (2021). Infinite time horizon safety of Bayesian neural networks. In 35th Conference on Neural Information Processing Systems. Virtual. https://doi.org/10.48550/arXiv.2111.03165
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 

2021 | Journal Article | IST-REx-ID: 13358 | OA
Ryssy, J., Natarajan, A. K., Wang, J., Lehtonen, A. J., Nguyen, M., Klajn, R., & Kuzyk, A. (2021). Light‐responsive dynamic DNA‐origami‐based plasmonic assemblies. Angewandte Chemie International Edition. Wiley. https://doi.org/10.1002/anie.202014963
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2021 | Book Chapter | IST-REx-ID: 13360
Bian, T., Chu, Z., & Klajn, R. (2021). Controlling Self‐Assembly of Nanoparticles Using Light. In N. Giuseppone & A. Walther (Eds.), Out‐of‐Equilibrium (Supra)molecular Systems and Materials (pp. 241–273). Wiley. https://doi.org/10.1002/9783527821990.ch9
View | DOI
 

2021 | Journal Article | IST-REx-ID: 13357 | OA
Bian, T., Gardin, A., Gemen, J., Houben, L., Perego, C., Lee, B., … Klajn, R. (2021). Electrostatic co-assembly of nanoparticles with oppositely charged small molecules into static and dynamic superstructures. Nature Chemistry. Springer Nature. https://doi.org/10.1038/s41557-021-00752-9
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 

Search

Filter Publications