A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties
R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, S. Soudjani, in:, 35th International Conference on Computer Aided Verification, Springer Nature, 2023, pp. 3–15.

Assessing memory in convection schemes using idealized tests
Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S.C. Sherwood, Journal of Advances in Modeling Earth Systems 15 (2023).

Correct approximation of stationary distributions
T. Meggendorfer, in:, TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2023, pp. 489–507.

Data-assessing memory in convection schemes using idealized tests
Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S.C. Sherwood, (2023).

Artefact for: Correct Approximation of Stationary Distributions
T. Meggendorfer, (2023).

Lincheck: A practical framework for testing concurrent data structures on JVM
N. Koval, A. Fedorov, M. Sokolova, D. Tsitelov, D.-A. Alistarh, in:, 35th International Conference on Computer Aided Verification , Springer Nature, 2023, pp. 156–169.

Lincheck: A practical framework for testing concurrent data structures on JVM
N. Koval, A. Fedorov, M. Sokolova, D. Tsitelov, D.-A. Alistarh, (2023).

A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties
R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, S. Soudjani, (2023).

Compositional policy learning in stochastic control systems with formal guarantees
D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, T.A. Henzinger, in:, 37th Conference on Neural Information Processing Systems, 2023.

A framework for grassroots research collaboration in machine learning and global health
C. Currin, M.N. Asiedu , C. Fourie, B. Rosman, H. Turki, A. Lambebo Tonja, J. Abbott, M. Ajala, S.A. Adedayo, C.C. Emezue, D. Machangara, in:, 1st Workshop on Machine Learning &; Global Health, OpenReview, 2023.

Monitoring hyperproperties with prefix transducers
M. Chalupa, T.A. Henzinger, in:, 23nd International Conference on Runtime Verification, Springer Nature, 2023, pp. 168–190.

QuePaxa: Escaping the tyranny of timeouts in consensus
P. Tennage, C. Basescu, E. Kokoris Kogias, E. Syta, P. Jovanovic, V. Estrada-Galinanes, B. Ford, in:, Proceedings of the 29th Symposium on Operating Systems Principles, Association for Computing Machinery, 2023, pp. 281–297.

Unified treatment of contact, friction and shock-propagation in rigid body animation
Y.-L. Chen, M. Ly, C. Wojtan, in:, Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation, Association for Computing Machinery, 2023.

Monitoring hyperproperties with prefix transducers
M. Chalupa, T.A. Henzinger, (2023).

Individual and social immunity against viral infections in ants
A. Franschitz, Individual and Social Immunity against Viral Infections in Ants, Institute of Science and Technology Austria, 2023.

1-Lipschitz neural networks are more expressive with N-activations
B. Prach, C. Lampert, ArXiv (n.d.).

Data and code for: The genetic architecture of a recent transition to live-bearing in marine snails
S. Stankowski, (2023).

Nitrate, auxin and cytokinin - a trio to tango
R. Abualia, S. Riegler, E. Benková, Cells 12 (2023).

Regulation of neural progenitor survival by Shh and BMP in the developing spinal cord
K. Kuzmicz-Kowalska, Regulation of Neural Progenitor Survival by Shh and BMP in the Developing Spinal Cord, Institute of Science and Technology Austria, 2023.

Causality in the time of LLMs: Round table discussion results of CLeaR 2023
C. Zhang, D. Janzing, M. van der Schaar, F. Locatello, P. Spirtes, K. Zhang, B. Schölkopf, C. Uhler, in:, 2nd Conference on Causal Learning and Reasoning, 2023.