Aarhus University Seal

Publications

Møldrup, L. & Pavlogiannis, A. (2025). AWDIT: An Optimal Weak Database Isolation Tester. Proceedings of the ACM on Programming Languages , 9, 1540-1564. Article 209. https://doi.org/10.1145/3742465
Conrado, G. K. & Pavlogiannis, A. (2025). CFL-based methods for approximating interleaved Dyck reachability. International Journal on Software Tools for Technology Transfer, 27(2), 255-266. Article 106135. https://doi.org/10.1007/s10009-025-00787-0
Saioc, G.-V., Lee, I.-T. A., Møller, A. & Chabbi, M. (2025). Dynamic Partial Deadlock Detection and Recovery via Garbage Collection. In ASPLOS 2025 - Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 244-259). Association for Computing Machinery. https://doi.org/10.1145/3676641.3715990
Endo, A. T. & Møller, A. (2025). Event Race Detection for Node.js Using Delay Injections. In J. Aldrich & A. Silva (Eds.), 39th European Conference on Object-Oriented Programming, ECOOP 2025 Article 9 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2025.9
Tan, J. & Madsen, M. (2025). Overloading the Dot. In D. Kluss, S. Achour & J. Palsberg (Eds.), CC 2025 - Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction (pp. 60-69). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3708493.3712684
Conrado, G. K. & Pavlogiannis, A. (2024). A Better Approximation for Interleaved Dyck Reachability. In SOAP 2024 - Proceedings of the 13th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis (pp. 18-25). Association for Computing Machinery. https://doi.org/10.1145/3652588.3663318
Schenck, R., Hinnerskov, N. H., Henriksen, T., Madsen, M. & Elsman, M. (2024). AUTOMAP: Inferring Rank-Polymorphic Function Applications with Integer Linear Programming. Proceedings of the ACM on Programming Languages , 8(OOPSLA2), 1787-1813. Article 334. https://doi.org/10.1145/3689774
Saioc, G.-V., Lange, J. & Møller, A. (2024). Automated Verification of Parametric Channel-Based Process Communication. In Proceedings of the ACM on Programming Languages (Vol. 8, pp. 2070-2096). Article 344 https://doi.org/10.1145/3689784
Tunç, H. C., Deshmukh, A. P., Çirisci, B., Enea, C. & Pavlogiannis, A. (2024). CSSTs: A Dynamic Data Structure for Partial Orders in Concurrent Execution Analysis. In ASPLOS '24: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (Vol. 3, pp. 223-238). Association for Computing Machinery. https://doi.org/10.1145/3620666.3651358
Jakobsen, A. B., Jørgensen, R. S. M., van de Pol, J. & Pavlogiannis, A. (2024). Fast Symbolic Computation of Bottom SCCs. In B. Finkbeiner & L. Kovács (Eds.), Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2024 (pp. 110-128). Springer. https://doi.org/10.1007/978-3-031-57256-2_6
Chakraborty, S., Krishna, S. N., Mathur, U. & Pavlogiannis, A. (2024). How Hard Is Weak-Memory Testing? Proceedings of the ACM on Programming Languages , 8, Article 66. https://doi.org/10.1145/3632908
Chakraborty, M., Gnanakumar, A., Sridharan, M. & Møller, A. (2024). Indirection-Bounded Call Graph Analysis. In J. Aldrich & G. Salvaneschi (Eds.), 38th European Conference on Object-Oriented Programming, ECOOP 2024 Article 3 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2024.10
Krishna, S., Lal, A., Pavlogiannis, A. & Tuppe, O. (2024). On-the-Fly Static Analysis via Dynamic Bidirected Dyck Reachability. Proceedings of the ACM on Programming Languages , 8(POPL), 1239-1268. https://doi.org/10.1145/3632884
Shi, Z., Mathur, U. & Pavlogiannis, A. (2024). Optimistic Prediction of Synchronization-Reversal Data Races. In Proceedings - 2024 ACM/IEEE 44th International Conference on Software Engineering, ICSE 2024: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (pp. 1-13). Article 134 Association for Computing Machinery. https://doi.org/10.1145/3597503.3639099
Ma, W., Egger, M. K., Pavlogiannis, A., Li, Y. & Karras, P. (2024). Reachability-Aware Fair Influence Maximization. In W. Zhang, Z. Yang, X. Wang, A. Tung, Z. Zheng & H. Guo (Eds.), Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Proceedings: 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part III (pp. 342-359). BMJ, Springer Nature. https://doi.org/10.1007/978-981-97-7238-4_22
Petsinis, P., Zhang, K., Pavlogiannis, A., Zhou, J. & Karras, P. (2024). Robust Reward Placement under Uncertainty. In K. Larson (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 6770-6778). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2024/748
Petsinis, P., Pavlogiannis, A., Tkadlec, J. & Karras, P. (2024). Seed Selection in the Heterogeneous Moran Process. In K. Larson (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 2297-2305). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2024/254
Larsen, C. A., Schmidt, S. M., Steensgaard, J., Jakobsen, A. B., Pol, J. V. D. & Pavlogiannis, A. (2023). A Truly Symbolic Linear-Time Algorithm for SCC Decomposition. In S. Sankaranarayanan & N. Sharygina (Eds.), Tools and Algorithms for the Construction and Analysis of Systems: 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22–27, 2023, Proceedings, Part II (pp. 353-371). Springer. https://doi.org/10.1007/978-3-031-30820-8_22
Seeberg, A. B., Matthews, T., Højlund, A., Petersen, B. & Vuust, P. (2023). Beyond syncopation: the importance of rhythmic streams for the experience of groove. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.
Starup, J. L., Madsen, M. & Lhoták, O. (2023). Breaking the Negative Cycle: Exploring the Design Space of Stratification for First-Class Datalog Constraints. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming, ECOOP 2023 Article 31 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2023.31
Madsen, M., Van De Pol, J. & Henriksen, T. (2023). Fast and Efficient Boolean Unification for Hindley-Milner-Style Type and Effect Systems. Proceedings of the ACM on Programming Languages , 7(OOPSLA2), 516–543. Article 240. https://doi.org/10.1145/3622816
Müller, M., Schuster, P., Starup, J. L., Ostermann, K. & Brachthäuser, J. I. (2023). From Capabilities to Regions: Enabling Efficient Compilation of Lexical Effect Handlers. Proceedings of the ACM on Programming Languages , 7(OOPSLA2), Article 255. https://doi.org/10.1145/3622831
Ganguly, S., Jain, A., Koppula, A., Sasidharan, S., Dattada, V. V. M., Hojlund, A. & Sridharan, K. S. (2023). Handling MEG Data Corrupted with Deep Brain Stimulation Artifacts - Some Pointers. In 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI) IEEE. https://doi.org/10.1109/ICAEECI58247.2023.10370869
Petsinis, P., Pavlogiannis, A. & Karras, P. (2023). Maximizing the Probability of Fixation in the Positional Voter Model. In B. Williams, Y. Chen & J. Neville (Eds.), AAAI-23 Technical Tracks 10 (pp. 12269-12277). Article 190493 AAAI Press.
Tunç, H. C., Abdulla, P. A., Chakraborty, S., Krishna, S., Mathur, U. & Pavlogiannis, A. (2023). Optimal Reads-From Consistency Checking for C11-Style Memory Models. Proceedings of the ACM on Programming Languages , 7(PLDI), 761–785. Article 137. https://doi.org/10.1145/3591251
Madsen, M. & Pol, J. V. D. (2023). Programming with Purity Reflection: Peaceful Coexistence of Effects, Laziness, and Parallelism. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming (ECOOP 2023) Article 18 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2023.18
Madsen, M., Starup, J. L. & Lutze, M. (2023). Restrictable Variants: A Simple and Practical Alternative to Extensible Variants. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming, ECOOP 2023 (pp. 17:1-17:27). Article 17 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2023.17
Seeberg, A. B., Matthews, T., Højlund, A., Vuust, P. & Petersen, B. (2023). Rhythm perception and experience of groove in cochlear implant users. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.
Tunç, H. C., Mathur, U., Pavlogiannis, A. & Viswanathan, M. (2023). Sound Dynamic Deadlock Prediction in Linear Time. Proceedings of the ACM on Programming Languages , 7, 1733-1758. https://doi.org/10.1145/3591291
Alves, J. N., Westner, B. U., Højlund, A., Weil, R. S. & Dalal, S. S. (2023). Structural and functional changes in the retina in Parkinson's disease. Journal of neurology, neurosurgery, and psychiatry, 94(6), 448-456. https://doi.org/10.1136/jnnp-2022-329342
Lutze, M., Madsen, M., Schuster, P. & Brachthäuser, J. I. (2023). With or Without You: Programming with Effect Exclusion. Proceedings of the ACM on Programming Languages , 7(ICFP), 448-475. https://doi.org/10.1145/3607846
Mathur, U., Pavlogiannis, A., Tunc, H. C. & Viswanathan, M. (2022). A Tree Clock Data Structure for Causal Orderings in Concurrent Executions. In B. Falsafi, M. Ferdman, S. Lu & T. F. Wenisch (Eds.), ASPLOS 2022 - Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 710-725). Association for Computing Machinery. https://doi.org/10.1145/3503222.3507734
Veileborg, O. H., Saioc, G.-V. & Møller, A. (2022). Detecting Blocking Errors in Go Programs using Localized Abstract Interpretation. In iWOAR 2022 - 7th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, Proceedings (pp. 1-12). Article 32 Association for Computing Machinery. https://doi.org/10.1145/3551349.3561154
Ahmadi, A., Daliri, M., Goharshady, A. K. & Pavlogiannis, A. (2022). Efficient approximations for cache-conscious data placement. In R. Jhala & I. Dillig (Eds.), Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 857-871). Association for Computing Machinery. https://doi.org/10.1145/3519939.3523436
Seeberg, A. B., Vuust, P., Højlund, A., Fletcher, M., Perry, S., F. Faulkner, K. & Petersen, B. (2022). Feel the beat and improve the groove: multimodal rhythm perception in cochlear implant users. Poster session presented at CI2022 DC Emerging Issues in Cochlear Implantation, Washington D. C., United States.
Seeberg, A. B., Vuust, P., Højlund, A., Fletcher, M., Perry, S., F. Faulkner, K. & Petersen, B. (2022). Feel the beat and improve the groove: multimodal rhythm perception in cochlear implant users. Poster session presented at SysMus22 - International Conference Series of Students of Systematic Musicology, Ghent, Belgium.
Brendborg, J., Karras, P., Pavlogiannis, A., Rasmussen, A. U. & Tkadlec, J. (2022). Fixation Maximization in the Positional Moran Process. Proceedings of the AAAI Conference on Artificial Intelligence, 36(9, AAAI Technical Track on Multiagent Systems), 9304-9312. https://doi.org/10.1609/aaai.v36i9.21160
Madsen, M., Starup, J. L. & Lhoták, O. (2022). Flix: A Meta Programming Language for Datalog. In Proceedings of the 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022) (pp. 202-206). CEUR-WS.org. https://ceur-ws.org/Vol-3203/short8.pdf
Svoboda, J., Tkadlec, J., Pavlogiannis, A., Chatterjee, K. & Nowak, M. A. (2022). Infection dynamics of COVID-19 virus under lockdown and reopening. Scientific Reports, 12, Article 1526. https://doi.org/10.1038/s41598-022-05333-5