Programming Languages and Theory of Computing

  1. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  2. Published

    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 proceedingPreface/postscriptResearch

  3. Published

    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 journalJournal articleResearchpeer-review

  4. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  5. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  6. Published

    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/ReportPh.D. thesisResearch

  7. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  8. Published

    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. 1-14

    Research output: Contribution to journalConference articleResearchpeer-review

  9. Published

    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. 47-59

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    VLDB 2021: Designing a Hybrid Conference.

    Tözün, P., Naumann, F., Bonnet, Philippe & Dong, X. L., 2022, In: SIGMOD Record. abs/2202.08069

    Research output: Contribution to journalJournal articleResearchpeer-review