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A reversible processor architecture and its reversible logic design
Thomsen, Michael Kirkedal, Axelsen, H. B. & Glück, Robert, 2012, Reversible Computation: Third International Workshop, RC 2011, Gent, Belgium, July 4-5, 2011. Revised Papers. De Vos, A. & Wille, R. (eds.). Springer, p. 30-42 13 p. (Lecture notes in computer science, Vol. 7165).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Preface
Thomsen, Michael Kirkedal & Soeken, M., 2019, Reversible Computation: 11th International Conference, RC 2019, Lausanne, Switzerland, June 24–25, 2019, Proceedings. Springer, p. v (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research
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Parallelization of Reversible Ripple-carry Adders
Thomsen, Michael Kirkedal & Axelsen, H. B., 2009, In: Parallel Processing Letters. 19, 2, p. 205-222 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Parallel Optimization of a Reversible (Quantum) Ripple-Carry Adder
Thomsen, Michael Kirkedal & Axelsen, H. B., 2008, Unconventional Computing: 7th International Conference, UC 2008, Vienna, Austria, August 25-28, 2008, proceedings. Calude, C. S., Costa, J. F., Freund, R., Oswald, M. & Rozenberg, G. (eds.). Springer, p. 228-241 14 p. (Lecture notes in computer science; No. 5204).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
Thygesen, Christian Bahne, Al-Sibahi, A. S., Steenmanns, C. S., Sanz Moreta, Lys, Sørensen, A. B. & Hamelryck, Thomas Wim, 2021, International Conference on Machine Learning, 18-24 July 2021, Virtual. PMLR, p. 10258-10267 (Proceedings of Machine Learning Research, Vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Accelerating vaccine development througha deep probabilistic programming approachto protein structure prediction
Thygesen, Christian Bahne, 2023, Department of Computer Science, Faculty of Science, University of Copenhagen. 93 p.Research output: Book/Report › Ph.D. thesis › Research
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Tail recursion transformation for invertible functions
Tilsted Kristensen, J., Kaarsgaard, R. & Thomsen, Michael Kirkedal, 2023, Reversible Computation: 15th International Conference, RC 2023, Giessen, Germany, July 18–19, 2023, Proceedings. Springer, p. 73–88 (Lecture Notes in Computer Science, Vol. 13960).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Branching execution symmetry in Jeopardy by available implicit arguments analysis
Tilsted Kristensen, J., Kaarsgaard, R. & Thomsen, Michael Kirkedal, 2023, In: NIKT: Norsk IKT-konferanse for forskning og utdanning. 2022, 1, p. 1-14Research output: Contribution to journal › Conference article › Research › peer-review
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Compositional deep learning in Futhark
Tran, D. M., Henriksen, Troels & Elsman, Martin, 18 Aug 2019, FHPNC 2019 - Proceedings of the 8th ACM SIGPLAN International Workshop on Functional High-Performance and Numerical Computing, co-located with ICFP 2019. Zocca, M. (ed.). Association for Computing Machinery, p. 47-59Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
VLDB 2021: Designing a Hybrid Conference.
Tözün, P., Naumann, F., Bonnet, Philippe & Dong, X. L., 2022, In: SIGMOD Record. abs/2202.08069Research output: Contribution to journal › Journal article › Research › peer-review
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Troll, a Language for specifying Dice-rolls
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Requirements for Logical Models for Value-Added Tax Legislation
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Classifying VAT Legislation for Automation
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