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.
370 Publications
2021 | Research Data | IST-REx-ID: 9192 | 
Surendranadh, Parvathy, et al. Effects of Fine-Scale Population Structure on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus. Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9192.
[Published Version]
View
| Files available
| DOI
2021 | Published | Conference Paper | IST-REx-ID: 9826 |
Auerbach, Benedikt, et al. “Inverse-Sybil Attacks in Automated Contact Tracing.” Topics in Cryptology – CT-RSA 2021, vol. 12704, Springer Nature, 2021, pp. 399–421, doi:10.1007/978-3-030-75539-3_17.
[Submitted Version]
View
| DOI
| Download Submitted Version (ext.)
2021 | Published | Thesis | IST-REx-ID: 10035 |
Klein, Karen. On the Adaptive Security of Graph-Based Games. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10035.
[Published Version]
View
| Files available
| DOI
2021 | Published | Conference Paper | IST-REx-ID: 11458 |
Krumes, Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Neural Information Processing Systems Foundation, 2021, pp. 8557–70.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2021 | Published | Journal Article | IST-REx-ID: 10635 |
Nardin, Michele, et al. “Nonlinear Computations in Spiking Neural Networks through Multiplicative Synapses.” Peer Community Journal, vol. 1, e68, Peer Community In, 2021, doi:10.24072/pcjournal.69.
[Published Version]
View
| Files available
| DOI
| arXiv
2021 | Published | Thesis | IST-REx-ID: 9733 |
Feliciangeli, Dario. The Polaron at Strong Coupling. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:9733.
[Published Version]
View
| Files available
| DOI
2021 | Published | Conference Paper | IST-REx-ID: 9592 |
Dvorak, Martin, and Sara Nicholson. “Massively Winning Configurations in the Convex Grabbing Game on the Plane.” Proceedings of the 33rd Canadian Conference on Computational Geometry, Canadian Conference on Computational Geometry, 2021.
[Published Version]
View
| Files available
| arXiv
2021 | Published | Thesis | IST-REx-ID: 10030 |
Portinale, Lorenzo. Discrete-to-Continuum Limits of Transport Problems and Gradient Flows in the Space of Measures. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10030.
[Published Version]
View
| Files available
| DOI
2021 | Published | Thesis | IST-REx-ID: 9920 |
Peruzzo, Matilda. Geometric Superinductors and Their Applications in Circuit Quantum Electrodynamics. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:9920.
[Published Version]
View
| Files available
| DOI
2021 | Published | Conference Paper | IST-REx-ID: 10668 |
Babaiee, Zahra, et al. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 478–89.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2021 | Published | Thesis | IST-REx-ID: 10199 |
Toman, Viktor. Improved Verification Techniques for Concurrent Systems. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10199.
[Published Version]
View
| Files available
| DOI
2021 | Published | Journal Article | IST-REx-ID: 9903 |
Karle, Volker, et al. “Area-Law Entangled Eigenstates from Nullspaces of Local Hamiltonians.” Physical Review Letters, vol. 127, no. 6, 060602, American Physical Society, 2021, doi:10.1103/physrevlett.127.060602.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2021 | Published | Thesis | IST-REx-ID: 10429 |
Nadiradze, Giorgi. On Achieving Scalability through Relaxation. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10429.
[Published Version]
View
| Files available
| DOI
2021 | Research Data | IST-REx-ID: 9389 |
Valentini, Marco. Research Data for “Non-Topological Zero Bias Peaks in Full-Shell Nanowires Induced by Flux Tunable Andreev States.” Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9389.
[Published Version]
View
| Files available
| DOI
2021 | Published | Journal Article | IST-REx-ID: 9387 |
Khudiakova, Kseniia, et al. “Two Linked Loci under Mutation-Selection Balance and Muller’s Ratchet.” Journal of Theoretical Biology, vol. 524, 110729, Elsevier , 2021, doi:10.1016/j.jtbi.2021.110729.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| PubMed | Europe PMC
2021 | Research Data | IST-REx-ID: 9323 |
Jirovec, Daniel. Research Data for “A Singlet-Triplet Hole Spin Qubit Planar Ge.” Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9323.
[Published Version]
View
| Files available
| DOI
2021 | Published | Journal Article | IST-REx-ID: 9558 |
Yalniz, Gökhan, et al. “Coarse Graining the State Space of a Turbulent Flow Using Periodic Orbits.” Physical Review Letters, vol. 126, no. 24, 244502, American Physical Society, 2021, doi:10.1103/PhysRevLett.126.244502.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 9416 |
Phuong, Mary, and Christoph Lampert. “The Inductive Bias of ReLU Networks on Orthogonally Separable Data.” 9th International Conference on Learning Representations, 2021.
[Published Version]
View
| Files available
| Download Published Version (ext.)
2021 | Published | Journal Article | IST-REx-ID: 6995 |
Samarasinghe, Ranmal A., et al. “Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids.” Nature Neuroscience, vol. 24, Springer Nature, 2021, p. 32, doi:10.1038/s41593-021-00906-5.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| PubMed | Europe PMC
2021 | Published | Conference Paper | IST-REx-ID: 10666 |
Lechner, Mathias, et al. “Adversarial Training Is Not Ready for Robot Learning.” 2021 IEEE International Conference on Robotics and Automation, 2021, pp. 4140–47, doi:10.1109/ICRA48506.2021.9561036.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv