Wissenschaftliche Publikationen

Almagor, S.; Chistikov, D.; Ouaknine, J.; Worrell, J.: O-Minimal Invariants for Discrete-Time Dynamical Systems. ACM Transactions on Computational Logic 23 (2), 9, S. 1 - 20 (2022)

Baumann, P.; Majumdar, R.; Thinniyam, R. S.; Zetzsche, G.: Context-bounded Verification of Thread Pools. Proceedings of the ACM on Programming Languages 6, POPL, 17, S. 1 - 28 (2022)

Biswas, A.; Patro, G. K.; Ganguly, N.; Gummadi, K.; Chakraborty, A.: Toward Fair Recommendation in Two-sided Platforms. ACM Transactions on the Web 16 (2), 8, S. 1 - 34 (2022)

Chistikov, D.; Majumdar, R.; Schepper, P.: Subcubic Certificates for CFL Reachability. Proceedings of the ACM on Programming Languages 6, POPL, 41, S. 1 - 29 (2022)

Ddamulira, M.; Luca, F.; Tichy, R.: On the Shorey–Tijdeman Diophantine Equation Involving Terms of Lucas Sequences. Indagationes Mathematicae 33 (2), S. 314 - 321 (2022)

Dreyer, D.; Pierce, B. C.: On being a PhD student of Robert Harper. Journal of Functional Programming 32, e3 (2022)

Emilianov, V.; Gast, N.; Gummadi, K.; Loiseau, P.: On Fair Selection in the Presence of Implicit and Differential Variance. Artificial Intelligence 302, 103609 (2022)

Fried, D.; Legay, A.; Ouaknine, J.; Vardi, M. Y.: Sequential Relational Decomposition. Logical Mehods in Computer Science 18 (1), 37, S. 1 - 29 (2022)

Gäher, L.; Sammler, M.; Spies, S.; Jung, R.; Dang, H.-H.; Krebbers, R.; Kang, J.; Dreyer, D.: Simuliris: A Separation Logic Framework for Verifying Concurrent Program Optimizations. Proceedings of the ACM on Programming Languages 6, POPL, 28, S. 1 - 31 (2022)

Hirsch, A. K.; Garg, D.: Pirouette: Higher-Order Typed Functional Choreographies. Proceedings of the ACM on Programming Languages 6, POPL, 23, S. 1 - 27 (2022)

Karimov, T.; Lefaucheux, E.; Ouaknine, J.; Purser, D.; Varonka, A.; Whiteland, M.; Worrell, J.: What’s Decidable about Linear Loops? Proceedings of the ACM on Programming Languages, 65, S. 1 - 25 (2022)

Kokologiannakis, M.; Marmanis, I.; Gladstein, V.; Vafeiadis, V.: Truly Stateless, Optimal Dynamic Partial Order Reduction. Proceedings of the ACM on Programming Languages 6, POPL, 49, S. 1 - 28 (2022)

Kolosick, M.; Narayan, S.; Johnson, E.; Watt, C.; LeMay, M.; Garg, D.; Jhala, R.; Stefan, D.: Isolation Without Taxation: Near Zero Cost Transitions for SFI. Proceedings of the ACM on Programming Languages 6, POPL, 27, S. 1 - 30 (2022)

Le, Q. L.; Raad, A.; Villard, J.; Berdine, J.; Dreyer, D.; O'Hearn, P. W.: Finding Real Bugs in Big Programs with Incorrectness Logic. Proceedings of the ACM on Programming Languages 6 (OOPSLA1), 81, S. 1 - 27 (2022)

Lepigre, R.; Sammler, M.; Memarian, K.; Krebbers, R.; Dreyer, D.; Sewell, P.: VIP: Verifying Real-World C Idioms with Integer-Pointer Casts. Proceedings of the ACM on Programming Languages 6, POPL, 20, S. 1 - 32 (2022)

Raad, A.; Berdine, J.; Dreyer, D.; O'Hearn, P. W.: Concurrent Incorrectness Separation Logic. Proceedings of the ACM on Programming Languages 6, POPL, 34, S. 1 - 29 (2022)

Raad, A.; Maranget, L.; Vafeiadis, V.: Extending Intel-X86 Consistency and Persistency: Formalising the Semantics of Intel-X86 Memory Types and Non-Temporal Stores. Proceedings of the ACM on Programming Languages 6, POPL, 22, S. 1 - 31 (2022)

Banerjee, T.; Majumdar, R.; Mallik, K.; Schmuck, A.-K.; Soudjani, S.: A Direct Symbolic Algorithm for Solving Stochastic Rabin Games. In: Tools and Algorithms for the Construction and Analysis of Systems, S. 81 - 98 (Hg. Fisman, D.; Rosu, G.). 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Munich, Germany, 02. April 2022 - 07. April 2022. Springer, Berlin (2022)

Finkbeiner, B.; Mallik, K.; Passing, N.; Schledjewski, M.; Schmuck, A.-K.: BOCoSy: Small but Powerful Symbolic Output-Feedback Control. In: HSCC 2022, 24 (Hg. Bartocci, E.; Putot, S.). 25th ACM International Conference on Hybrid Systems: Computation and Control, Milan, Italy (Virtual Event), 04. Mai 2022 - 06. Mai 2022. ACM, New York, NY (2022)

Lahoti, P.; Gummadi, K.; Weikum, G.: Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. In: 21st IEEE International Conference on Data Mining, S. 1174 - 1179 (Hg. Bailey, J.; Miettinen, P.; Koh, Y. S.; Tao, D.; Wu, X.). 21st IEEE International Conference on Data Mining , Auckland, New Zealand (Virtual Conference), 07. Dezember 2021 - 10. Dezember 2021. IEEE, Piscataway, NJ (2022)