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6331 Publications
2021 |
Draft |
Preprint |
IST-REx-ID: 12076 |
A. L. Shute, “Sums of four squareful numbers,” arXiv. .
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| arXiv
2021 |
Draft |
Preprint |
IST-REx-ID: 10803 |
N. H. Konstantinov and C. Lampert, “Fairness through regularization for learning to rank,” arXiv. .
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| arXiv
2021 |
Draft |
Preprint |
IST-REx-ID: 10762 |
W. Rzadkowski, M. Lemeshko, and J. H. Mentink, “Artificial neural network states for non-additive systems,” arXiv. .
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2021 |
Published |
Conference Paper |
IST-REx-ID: 10665 |
T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10667 |
M. Lechner, Ð. Žikelić, K. Chatterjee, and T. A. Henzinger, “Infinite time horizon safety of Bayesian neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10666 |
M. Lechner, R. Hasani, R. Grosu, D. Rus, and T. A. Henzinger, “Adversarial training is not ready for robot learning,” in 2021 IEEE International Conference on Robotics and Automation, Xi’an, China, 2021, pp. 4140–4147.
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| WoS
| arXiv
2021 |
Published |
Thesis | PhD |
IST-REx-ID: 9022 |
G. Cipolloni, “Fluctuations in the spectrum of random matrices,” Institute of Science and Technology Austria, 2021.
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2021 |
Published |
Thesis | MS |
IST-REx-ID: 10422 |
A. Piankov, “Towards designer materials using customizable particle shape,” Institute of Science and Technology Austria, 2021.
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2021 |
Published |
Thesis | PhD |
IST-REx-ID: 10030 |
L. Portinale, “Discrete-to-continuum limits of transport problems and gradient flows in the space of measures,” Institute of Science and Technology Austria, 2021.
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2021 |
Published |
Thesis | PhD |
IST-REx-ID: 9733 |
D. Feliciangeli, “The polaron at strong coupling,” Institute of Science and Technology Austria, 2021.
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2021 |
Published |
Journal Article |
IST-REx-ID: 9225 |
D. Feliciangeli, S. A. E. Rademacher, and R. Seiringer, “Persistence of the spectral gap for the Landau–Pekar equations,” Letters in Mathematical Physics, vol. 111. Springer Nature, 2021.
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2021 |
Draft |
Preprint |
IST-REx-ID: 9792 |
D. Feliciangeli, A. Gerolin, and L. Portinale, “A non-commutative entropic optimal transport approach to quantum composite systems at positive temperature,” arXiv. .
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| arXiv
2021 |
Draft |
Preprint |
IST-REx-ID: 9787 |
D. Feliciangeli and R. Seiringer, “The strongly coupled polaron on the torus: Quantum corrections to the Pekar asymptotics,” arXiv. .
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| arXiv
2021 |
Draft |
Preprint |
IST-REx-ID: 9791 |
D. Feliciangeli, S. A. E. Rademacher, and R. Seiringer, “The effective mass problem for the Landau-Pekar equations,” arXiv. .
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 9987 |
P. Agarwal, K. Chatterjee, S. Pathak, A. Pavlogiannis, and V. Toman, “Stateless model checking under a reads-value-from equivalence,” in 33rd International Conference on Computer-Aided Verification , Virtual, 2021, vol. 12759, pp. 341–366.
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| arXiv
2021 |
Published |
Thesis | PhD |
IST-REx-ID: 10199 |
V. Toman, “Improved verification techniques for concurrent systems,” Institute of Science and Technology Austria, 2021.
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2021 |
Published |
Journal Article |
IST-REx-ID: 10191 |
T. L. Bui, K. Chatterjee, T. Gautam, A. Pavlogiannis, and V. Toman, “The reads-from equivalence for the TSO and PSO memory models,” Proceedings of the ACM on Programming Languages, vol. 5, no. OOPSLA. Association for Computing Machinery, 2021.
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| arXiv
2021 |
Published |
Thesis | PhD |
IST-REx-ID: 10007 |
S. Hensel, “Curvature driven interface evolution: Uniqueness properties of weak solution concepts,” Institute of Science and Technology Austria, 2021.
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2021 |
Published |
Thesis | PhD |
IST-REx-ID: 10429 |
G. Nadiradze, “On achieving scalability through relaxation,” Institute of Science and Technology Austria, 2021.
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2021 |
Published |
Conference Paper |
IST-REx-ID: 10435 |
G. Nadiradze, A. Sabour, P. Davies, S. Li, and D.-A. Alistarh, “Asynchronous decentralized SGD with quantized and local updates,” in 35th Conference on Neural Information Processing Systems, Sydney, Australia, 2021.
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| arXiv