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Søg publikationer fra Institut for Datalogi

Liste over publikationer af videnskabelige medarbejdere fra Institut for Datalogi, Aarhus Universitet.

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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
Neele, T. & Pol, J. V. D. (2024). Operations on Fixpoint Equation Systems. Logical Methods in Computer Science, 20(3), 5:1-5:32. https://doi.org/10.46298/LMCS-20(3:5)2024
Afshani, P. & Schwiegelshohn, C. (2024). Optimal Coresets for Low-Dimensional Geometric Median. I International Conference on Machine Learning (s. 262-270). PMLR.
Shaik, I. & Pol, J. V. D. (2024). Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation. I U. Endriss, F. S. Melo, K. Bach, A. Bugarin-Diz, J. M. Alonso-Moral, S. Barro & F. Heintz (red.), ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) (s. 4207-4215). IOS Press. https://doi.org/10.3233/FAIA240993
Shaik, I. & Van de Pol, J. (2024). Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors with 100+ Qubits. I S. Chakraborty & J.-H. R. Jiang (red.), 27th International Conference on Theory and Applications of Satisfiability Testing, SAT 2024 Artikel 26 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SAT.2024.26
Larsen, K. G., Pagh, R., Persiano, G., Pitassi, T., Yeo, K. & Zamir, O. (2024). Optimal Non-Adaptive Cell Probe Dictionaries and Hashing. I K. Bringmann, M. Grohe, G. Puppis & O. Svensson (red.), 51st International Colloquium on Automata, Languages, and Programming, ICALP 2024 Artikel 104 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ICALP.2024.104
da Cunha, A., Høgsgaard, M. M. & Larsen, K. G. (2024). Optimal Parallelization of Boosting. Abstract fra NeurIPS'24: 38th Conference on Neural Information Processing Systems, Vancouver, Canada.
Shi, Z., Mathur, U. & Pavlogiannis, A. (2024). Optimistic Prediction of Synchronization-Reversal Data Races. I ICSE 2024 - Proceedings of the 46th IEEE/ACM International Conference on Software Engineering: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (s. 1-13). Artikel 134 Association for Computing Machinery. https://doi.org/10.1145/3597503.3639099
Caragiannis, I. & Rathi, N. (2024). Optimizing Over Serial Dictatorships. Theory of Computing Systems, 68(5), 1180-1206. https://doi.org/10.1007/s00224-024-10196-6
Schou, J. K. R. & Wang, B. (2024). PersiSort: A New Perspective on Adaptive Sorting Based on Persistence. I R. I. Nishat (red.), Canadian Conference on Computational Geometry: Proceedings of the 36th Canadian Conference on Computational Geometry (CCCG 2024) Brock University, St. Catharines, Canada, July 17 - 19, 2024 (s. 287-312)
Aumüller, M., Janos Lebeda, C., Nelson, B. & Pagh, R. (2024). PLAN: Variance-Aware Private Mean Estimation. I Proceedings on Privacy Enhancing Technologies (s. 606-625) https://doi.org/10.56553/popets-2024-0095
Zhu, Y., Honnet, C., Kang, Y., Zhu, J., Zheng, A. J., Heinz, K., Tang, G., Musk, L., Wessely, M. & Mueller, S. (2024). PortaChrome: A Portable Contact Light Source for Integrated Re-Programmable Multi-Color Textures. I UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (s. 1-13). Artikel 18 Association for Computing Machinery. https://doi.org/10.1145/3654777.3676458
Filos-Ratsikas, A., Hansen, K. A., Høgh, K. & Hollender, A. (2024). PPAD-Membership for Problems with Exact Rational Solutions: A General Approach via Convex Optimization. I B. Mohar, I. Shinkar & R. O'Donnell (red.), STOC 2024 - Proceedings of the 56th Annual ACM Symposium on Theory of Computing (s. 1204-1215). Association for Computing Machinery. https://doi.org/10.1145/3618260.3649645
Wong, E., Esquivel, J. S., Leiva, G., Grønbæk, J. E. & Velloso, E. (2024). Practice-informed Paterns for Organising Large Groups in Distributed Mixed Reality Collaboration. I CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems Artikel 1030 Association for Computing Machinery. https://doi.org/10.1145/3613904.3642502
Stassen, P. J. A. (2024). Programming language semantics in modal type theories. [Ph.d.-afhandling, Aarhus Universitet]. Department of Computer Science, University of Aarhus.
Caragiannis, I. & Kalantzis, G. (2024). Randomized learning-augmented auctions with revenue guarantees. I K. Larson (red.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI) (s. 2687-2694). International Joint Conferences on Artificial Intelligence.
Ma, W., Egger, M. K., Pavlogiannis, A., Li, Y. & Karras, P. (2024). Reachability-Aware Fair Influence Maximization. I W. Zhang, Z. Yang, X. Wang, A. Tung, Z. Zheng & H. Guo (red.), 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 (s. 342-359). BMJ, Springer Nature. https://doi.org/10.1007/978-981-97-7238-4_22
Egger, M. K., Ma, W., Mottin, D., Karras, P., Bordino, I., Gullo, F. & Anagnostopoulos, A. (2024). ReliK: A Reliability Measure for Knowledge Graph Embeddings. I WWW '24 : Proceedings of the ACM Web Conference (s. 2009-2019). Association for Computing Machinery. https://doi.org/10.1145/3589334.3645430
Kalavasis, A., Karbasi, A., Larsen, K. G., Velegkas, G. & Zhou, F. (2024). Replicable Learning of Large-Margin Halfspaces. I Proceedings of the 41 st International Conference on Machine Learning (Bind 235, s. 22861-22878). MLResearch Press.
Hanneke, S., Larsen, K. G. & Zhivotovskiy, N. (2024). Revisiting Agnostic PAC Learning. I Proceedings - 2024 IEEE 65th Annual Symposium on Foundations of Computer Science, FOCS 2024 (s. 1968-1982). IEEE. https://doi.org/10.1109/FOCS61266.2024.00118
Lunding, R. S., Lunding, M. S., Feuchtner, T., Petersen, M. G., Grønbæk, K. & Suzuki, R. (2024). RoboVisAR: Immersive Authoring of Condition-based AR Robot Visualisations. I HRI '2024: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (s. 462-471). Association for Computing Machinery. https://doi.org/10.1145/3610977.3634972
Petsinis, P., Zhang, K., Pavlogiannis, A., Zhou, J. & Karras, P. (2024). Robust Reward Placement under Uncertainty. I K. Larson (red.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (s. 6770-6778). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2024/748
Chillotti, I., Orsini, E., Scholl, P. & Van Leeuwen, B. (2024). Scooby: Improved multi-party homomorphic secret sharing based on FHE. Information and Computation, 297, Artikel 105133. https://doi.org/10.1016/j.ic.2023.105133
Keller, H., Möllering, H., Schneider, T., Tkachenko, O. & Zhao, L. (2024). Secure Noise Sampling for DP in MPC with Finite Precision. I ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security Artikel 25 Association for Computing Machinery. https://doi.org/10.1145/3664476.3664490
Petsinis, P., Pavlogiannis, A., Tkadlec, J. & Karras, P. (2024). Seed Selection in the Heterogeneous Moran Process. I K. Larson (red.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (s. 2297-2305). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2024/254
Tommasel, A. & Assent, I. (2024). Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval. I W. Ding, C.-T. Lu, F. Wang, L. Di, K. Wu, J. Huan, R. Nambiar, J. Li, F. Ilievski, R. Baeza-Yates & X. Hu (red.), 2024 IEEE International Conference on Big Data (BigData) (s. 4048-4057). IEEE. https://doi.org/10.1109/BigData62323.2024.10826117, https://doi.org/10.1109/BigData62323.2024.10826117
Chan, T. M., Cheng, P. & Zheng, D. W. (2024). Semialgebraic Range Stabbing, Ray Shooting, and Intersection Counting in the Plane. I W. Mulzer & J. M. Phillips (red.), 40th International Symposium on Computational Geometry, SoCG 2024 Artikel 33 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2024.33
Vindum, S. F. (2024). Separation Logic for Concurrency and Persistency. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Boudgoust, K. & Takahashi, A. (2024). Sequential Half-Aggregation of Lattice-Based Signatures. I G. Tsudik, M. Conti, K. Liang & G. Smaragdakis (red.), Computer Security – ESORICS 2023: 28th European Symposium on Research in Computer Security, The Hague, The Netherlands, September 25–29, 2023, Proceedings, Part I (Bind 1, s. 270-289). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-50594-2_14
Draganov, A. A., Saulpic, D. & Schwiegelshohn, C. (2024). Settling Time vs. Accuracy Tradeoffs for Clustering Big Data. Proceedings of the ACM on Management of Data, 2(3), Artikel 173. https://doi.org/10.1145/3654976
Lee, H. S., Weidner, F., Sidenmark, L. & Gellersen, H. (2024). Snap, Pursuit and Gain: Virtual Reality Viewport Control by Gaze. I F. F. Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. T. Dugas & I. Shklovski (red.), CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems Association for Computing Machinery. https://doi.org/10.1145/3613904.3642838
Høgsgaard, M. M., Kamma, L., Larsen, K. G., Nelson, J. & Schwiegelshohn, C. (2024). Sparse Dimensionality Reduction Revisited. I International Conference on Machine Learning (s. 18454-18469). PMLR.
Lystbæk, M. N., Pfeuffer, K., Langlotz, T., Grønbæk, J. E. & Gellersen, H. (2024). Spatial Gaze Markers: Supporting Effective Task Switching in Augmented Reality. I F. Mueller, P. Kyburz, J. Williamson, C. Sas, M. Wilson, P. Dugas & I. Shklovski (red.), CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems: Proceedings of the CHI Conference on Human Factors in Computing Systems Artikel 633 Association for Computing Machinery. https://doi.org/10.1145/3613904.3642811
Alon, N., Grønlund, A., Jørgensen, S. F. & Larsen, K. G. (2024). Sublinear Time Shortest Path in Expander Graphs. I R. Kralovic & A. Kucera (red.), 49th International Symposium on Mathematical Foundations of Computer Science, MFCS 2024 (s. 8:1-8:13). Artikel 8 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.MFCS.2024.8
Abram, D., Roy, L. & Scholl, P. (2024). Succinct Homomorphic Secret Sharing. I M. Joye & G. Leander (red.), Advances in Cryptology -- EUROCRYPT 2024 (s. 301-330). Springer Nature. https://doi.org/10.1007/978-3-031-58751-1_11
Dybboe, M., Ellemose, J., Vastrup, A. L., Boudouraki, A., Rintel, S., Petersen, M. G., Sloth Grønbæk, J. E. & Klokmose, C. N. (2024). TableBot: Getting a Handle on Hybrid Collaboration by Negotiating Control of a Tabletop Telepresence Robot. I NordiCHI '24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction Artikel 17 Association for Computing Machinery. https://doi.org/10.1145/3679318.3685350
Haselwarter, P. G., Li, K. H. E. I., Medeiros, M. D. E., Gregersen, S. O., Aguirre, A., Tassarotti, J. & Birkedal, L. (2024). Tachis: Higher-Order Separation Logic with Credits for Expected Costs. Proceedings of the ACM on Programming Languages , 8(OOPSLA2), 1189 - 1218. Artikel 313. https://doi.org/10.1145/3689753
Chundury, P., Reyazuddin, Y., Jordan, J. B., Lazar, J. & Elmqvist, N. (2024). TactualPlot: Spatializing Data as Sound Using Sensory Substitution for Touchscreen Accessibility. IEEE Transactions on Visualization and Computer Graphics, 30(1), 836-846. https://doi.org/10.1109/TVCG.2023.3326937
Hogräfer, M. & Schulz, H.-J. (2024). Tailorable Sampling for Progressive Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 30(8), 4809-4824. https://doi.org/10.1109/TVCG.2023.3278084
Aminimehr, A., Khani, P., Molaei, A., Kazemeini, A. & Cambria, E. (2024). TbExplain: A Text-Based Explanation Method for Scene Classification Models with the Statistical Prediction Correction. I GUIDE-AI '24: Proceedings of the Conference on Governance, Understanding and Integration of Data for Effective and Responsible AI (s. 54-60). Association for Computing Machinery. https://doi.org/10.1145/3665601.3669841
Sitchinava, N. & Svenning, R. (2024). The All Nearest Smaller Values Problem Revisited in Practice, Parallel and External Memory. I SPAA '24: Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures (s. 259-268). Association for Computing Machinery. https://doi.org/10.1145/3626183.3659979