Publikationer

Søg publikationer fra Institut for Datalogi

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

Yakoubov, S., Pagnin, E. & Kolby, S. (2024). Multi Designated Verifier Ring Signatures. IACR Communications in Cryptology, 1(3). https://doi.org/10.62056/a33zivrzn

Francati, D., Friolo, D., Malavolta, G. & Venturi, D. (2024). Multi-key and Multi-input Predicate Encryption (for Conjunctions) from Learning with Errors. Journal of Cryptology, 37(3), Artikel 24. https://doi.org/10.1007/s00145-024-09504-7

Hoggan, E. (2024). Multimodal Interaction. I Interaction Techniques and Technologies in Human-Computer Interaction (s. 45-63). CRC Press. https://doi.org/10.1201/9781003490678-2

Sølvsten, S. & van de Pol, J. (2024). Multi-variable Quantification of BDDs in External Memory using Nested Sweeping. ArXiv. https://doi.org/10.48550/arXiv.2408.14216

Hinrichsen, J. K., Jacobs, J. & Krebbers, R. (2024). Multris: Functional Verification of Multiparty Message Passing in Separation Logic. Proceedings of the ACM on Programming Languages , 8(OOPSLA2), Artikel 322. https://doi.org/10.1145/3689762

Klokmose, C. N., Eagan, J. R. & Van Hardenberg, P. (2024). MyWebstrates: Webstrates as Local-first Software. I UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (s. 1-12). Artikel 42 Association for Computing Machinery. https://doi.org/10.1145/3654777.3676445, https://doi.org/10.1145/3654777.3676445

Francati, D. & Venturi, D. (2024). Non-malleable Fuzzy Extractors. I C. Pöpper & L. Batina (red.), Applied Cryptography and Network Security: 22nd International Conference, ACNS 2024, Abu Dhabi, United Arab Emirates, March 5–8, 2024, Proceedings, Part I (s. 135-155). Springer. https://doi.org/10.1007/978-3-031-54770-6_6

Brodal, G. S., Fagerberg, R. & Rysgaard, C. M. (2024). On Finding Longest Palindromic Subsequences Using Longest Common Subsequences. I T. Chan, J. Fischer, J. Iacono & G. Herman (red.), 32nd Annual European Symposium on Algorithms, ESA 2024 Artikel 35 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2024.35

Afshani, P. & Cheng, P. (2024). On Semialgebraic Range Reporting. Discrete and Computational Geometry, 71(1), 4-39. https://doi.org/10.1007/s00454-023-00574-1

Caragiannis, I., Hansen, K. A. & Rathi, N. (2024). On the Complexity of Pareto-Optimal and Envy-Free Lotteries. I AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (s. 244-252). Association for Computing Machinery. https://dl.acm.org/doi/10.5555/3

Moradan, A. (2024). On the Expressiveness of Community Detection in Complex Networks. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

Dahlsen-Jensen, M. B., Fievet, B., Petrucci, L. & de Pol, J. V. (2024). On-The-Fly Algorithm for Reachability in Parametric Timed Games. I B. Finkbeiner & L. Kovács (red.), Tools and Algorithms for the Construction and Analysis of Systems - 30th International Conference, TACAS 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Proceedings (s. 194-212). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-57256-2_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

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 Proceedings - 2024 ACM/IEEE 44th International Conference on Software Engineering, ICSE 2024: 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

Boudgoust, K. & Roux-Langlois, A. (2024). Overfull: Too Large Aggregate Signatures Based on Lattices. The Computer Journal, 67(2), 719-727. https://doi.org/10.1093/comjnl/bxad013

Griggio, C. F., Gorman, B. M. & Tigwell, G. W. (2024). Party Face Congratulations! Exploring Design Ideas to Help Sighted Users with Emoji Accessibility when Messaging with Screen Reader Users. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), Artikel 175. https://doi.org/10.1145/3641014

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.

Pablos Sarabia, R., Nyborg, J. C., Birk, M. & Assent, I. (2024). RainAI - Precipitation Nowcasting from Satellite Data. Manuskript under forberedelse. I Weather4cast 2023 Competition at NeurIPS 2023 https://doi.org/10.48550/arXiv.2311.18398

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

Laursen, M. R., Xu, W. & Møller, A. (2024). Reducing Static Analysis Unsoundness with Approximate Interpretation. Proceedings of the ACM on Programming Languages , 8, 1165-1188. https://doi.org/10.1145/3656424

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

Caragiannis, I. & Narang, S. (2024). Repeatedly matching items to agents fairly and efficiently. Theoretical Computer Science, 981, Artikel 114246. https://doi.org/10.1016/j.tcs.2023.114246

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

Berger, C. P., Lutze, M. C. D., Elmqvist, N., Madsen, M. & Klokmose, C. N. (2024). Scientists and Code: Programming as a Tool. Afhandling præsenteret på PLATEAU, Berkeley, California, USA. https://kilthub.cmu.edu/articles/conference_contribution/Scientists_and_Code_Programming_as_a_Tool/25587726?backTo=/collections/PLATEAU_2024/7093870

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 University.

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 and Business Media Deutschland GmbH. 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

Dahl, J. F., Gregersen, S. B., Andersen, U., Schulz, H.-J. & Corredig, M. (2024). Small and large deformation rheology on pizza cheese as an example of application to study anisotropic properties of food soft materials. Food Hydrocolloids, 148(Part A), Artikel 109456. https://doi.org/10.1016/j.foodhyd.2023.109456

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.

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