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677 Publications


2021 |Published| Conference Paper | IST-REx-ID: 9987 | OA
Stateless model checking under a reads-value-from equivalence
P. Agarwal, K. Chatterjee, S. Pathak, A. Pavlogiannis, V. Toman, in:, 33rd International Conference on Computer-Aided Verification , Springer Nature, 2021, pp. 341–366.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2021 |Published| Thesis | IST-REx-ID: 10007 | OA
Curvature driven interface evolution: Uniqueness properties of weak solution concepts
S. Hensel, Curvature Driven Interface Evolution: Uniqueness Properties of Weak Solution Concepts, Institute of Science and Technology Austria, 2021.
[Published Version] View | Files available | DOI
 

2021 |Published| Journal Article | IST-REx-ID: 10191 | OA
The reads-from equivalence for the TSO and PSO memory models
T.L. Bui, K. Chatterjee, T. Gautam, A. Pavlogiannis, V. Toman, Proceedings of the ACM on Programming Languages 5 (2021).
[Published Version] View | Files available | DOI | arXiv
 

2021 |Submitted| Preprint | IST-REx-ID: 10013 | OA [Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 |Published| Thesis | IST-REx-ID: 10030 | OA
Discrete-to-continuum limits of transport problems and gradient flows in the space of measures
L. Portinale, Discrete-to-Continuum Limits of Transport Problems and Gradient Flows in the Space of Measures, Institute of Science and Technology Austria, 2021.
[Published Version] View | Files available | DOI
 

2021 |Published| Thesis | IST-REx-ID: 9920 | OA
Geometric superinductors and their applications in circuit quantum electrodynamics
M. Peruzzo, Geometric Superinductors and Their Applications in Circuit Quantum Electrodynamics, Institute of Science and Technology Austria, 2021.
[Published Version] View | Files available | DOI
 

2021 |Published| Conference Paper | IST-REx-ID: 10432 | OA
Elastic consistency: A practical consistency model for distributed stochastic gradient descent
G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, D.-A. Alistarh, in:, Proceedings of the AAAI Conference on Artificial Intelligence, 2021, pp. 9037–9045.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 |Published| Conference Paper | IST-REx-ID: 10041 | OA
Limits on the Adaptive Security of Yao’s Garbling
C. Kamath Hosdurg, K. Klein, K.Z. Pietrzak, D. Wichs, in:, 41st Annual International Cryptology Conference, Part II , Springer Nature, Cham, 2021, pp. 486–515.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 

2021 |Published| Conference Paper | IST-REx-ID: 10044 | OA
On treewidth, separators and Yao's garbling
C. Kamath Hosdurg, K. Klein, K.Z. Pietrzak, in:, 19th Theory of Cryptography Conference 2021, International Association for Cryptologic Research, 2021.
[Preprint] View | Files available | Download Preprint (ext.)
 

2021 |Published| Thesis | IST-REx-ID: 10422 | OA
Towards designer materials using customizable particle shape
A. Piankov, Towards Designer Materials Using Customizable Particle Shape, Institute of Science and Technology Austria, 2021.
[Published Version] View | Files available | DOI
 

2021 |Submitted| Preprint | IST-REx-ID: 10803 | OA
Fairness through regularization for learning to rank
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 |Submitted| Preprint | IST-REx-ID: 10762 | OA
Artificial neural network states for non-additive systems
W. Rzadkowski, M. Lemeshko, J.H. Mentink, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 |Published| Thesis | IST-REx-ID: 9418 | OA
Underspecification in deep learning
M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.
[Published Version] View | Files available | DOI
 

2021 |Published| Conference Paper | IST-REx-ID: 14177 | OA
On disentangled representations learned from correlated data
F. Träuble, E. Creager, N. Kilbertus, F. Locatello, A. Dittadi, A. Goyal, B. Schölkopf, S. Bauer, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 10401–10412.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 |Published| Conference Paper | IST-REx-ID: 14176 | OA
Neighborhood contrastive learning applied to online patient monitoring
H. Yèche, G. Dresdner, F. Locatello, M. Hüser, G. Rätsch, in:, Proceedings of 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 11964–11974.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 |Published| Conference Paper | IST-REx-ID: 14182 | OA
Backward-compatible prediction updates: A probabilistic approach
F. Träuble, J. von Kügelgen, M. Kleindessner, F. Locatello, B. Schölkopf, P. Gehler, in:, 35th Conference on Neural Information Processing Systems, 2021, pp. 116–128.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 |Published| Conference Paper | IST-REx-ID: 14181 | OA
Boosting variational inference with locally adaptive step-sizes
G. Dresdner, S. Shekhar, F. Pedregosa, F. Locatello, G. Rätsch, in:, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2021, pp. 2337–2343.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2021 |Published| Conference Paper | IST-REx-ID: 14179 | OA
Self-supervised learning with data augmentations provably isolates content from style
J. von Kügelgen, Y. Sharma, L. Gresele, W. Brendel, B. Schölkopf, M. Besserve, F. Locatello, in:, Advances in Neural Information Processing Systems, 2021, pp. 16451–16467.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 |Published| Conference Paper | IST-REx-ID: 14180 | OA
Dynamic inference with neural interpreters
N. Rahaman, M.W. Gondal, S. Joshi, P. Gehler, Y. Bengio, F. Locatello, B. Schölkopf, in:, Advances in Neural Information Processing Systems, 2021, pp. 10985–10998.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 |Published| Journal Article | IST-REx-ID: 14117 | OA
Toward causal representation learning
B. Scholkopf, F. Locatello, S. Bauer, N.R. Ke, N. Kalchbrenner, A. Goyal, Y. Bengio, Proceedings of the IEEE 109 (2021) 612–634.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

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