Jun.-Prof. Dr. Zorah Lähner, Colloquium, Symposium on 3D Object Retrieval, Santiago, Chile: In this talk I will give an overview about the state of non-rigid correspondence methods in the era of deep learning, where current methods shine and what limitations still exist today. These range from the question whether a found solution is actually the …
Read more “Non-Rigid Shape Correspondence Between Local and Global Scale”
Prof. Dr. Thomas Reiprich, Public Lecture, Bonner Volkssternwarte, Bonn, Germany: “Im Juli 2019 wurde das Röntgenweltraumteleskop eROSITA nach über 10 Jahren Entwicklungszeit erfolgreich gestartet. Bereits die allerersten Bilder zeigen, mit welch grosser Detailschärfe dieses neue Teleskop das Universum auf grossen Skalen vermessen kann, und welche großen Fortschritte wir uns davon erhoffen können. eROSITA wird die …
Prof. Dr. Gary Fuller, Invited Lecture, Spanish Astronomical Society Meeting, Granada, Spain: Most stars in our galaxy form as part of a cluster of stars and these clusters often contain one or more high mass (M>8 Msol) stars. The energy injected back into their environment over the lifetimes of these stars profoundly impacts the evolution …
Read more “Advances and Prospects on Large Scale Star Formation”
Dr. Andreas Lintermann, Invited Lecture, 70th Anniversary CERN, CERN, Geneve, Switzerland: With the continuously increase in availability of data, e.g., produced by the collision experiments at CERN already nowadays and the extreme multiplication of the data volume CERN is facing with their future experiments, more mature technologies are needed to find the needle in the …
Prof. Dr. Thomas Reiprich, Lecture, conference on GALAXY GROUPS IN THE ERA OF EROSITA AND EUCLID: A MULTIWAVELENGTH VIEW, Sesto, Italy: The Fornax cluster is one of the most nearby X-ray bright galaxy groups. Its proximity allows us to study its properties at high spatial resolution. We exploit the essentially unlimited field-of-view of five eROSITA …
Read more “The SRG/eROSITA All-Sky Survey, view of the Fornax galaxy cluster”
Jun.-Prof. Dr. Zorah Lähner, Colloquium, DataNinja Saionara Conference, Bielefeld, Germany: When solving discrete problems with deep learning, making the problem differentiable is one of the core challenges. This talk will look at different problems sets with complex discrete aspects, for example permutation, and how a change in representation can make these problems feasible for optimisation with …
Read more “Machine Learning in between Discrete and Continuous Settings”
Prof. Dr. Lucas Labadie, Invited Lecture, “From GRAVITY(+) Towards a Kilometers Baseline, Large Telescope Interferometer”, Ringberg, Germany: Deciphering the physical processes occurring in the inner regions of protoplanetary disks is key to understand the environmental conditions of (terrestrial) planet formation and evolution. Thanks to its unique milliarcsecond angular resolution, VLTI/GRAVITY has studied the ~0.1 – …
Prof. Dr. Jennifer Schober, Invited Lecture, Conference “SynCRETism”, Rethymnon, Crete, Greece: Magnetic fields are observed on all astrophysical scales of the modern Universe, from planets and stars to galaxies and galaxy clusters. There are also hints of Mpc-scale magnetic fields in the intergalactic medium. Such large-scale fields, if confirmed, have most likely been generated shortly …
Read more “Observing the Big Bang with cosmic magnetic fields”
Prof. Dr. Serena Viti, Colloquium, Nimegen, Netherlands: Molecules are present in most astrophysical environments within galaxies and, beside having a key role in the formation and shaping of such galaxies, they are also ideal tracers of their physical characteristics. It is now well established that chemistry in external galaxies is rich and complex. In this …
Read more “Characterising the dense molecular gas in galaxies”
Jun.-Prof. Dr. Zorah Lähner, Colloquium, Math4DL Workshop, Cambridge, UK: When solving discrete problems with deep learning, making the problem differentiable is one of the core challenges. This talk will look at different problems sets with complex discrete aspects, for example permutation, and how a change in representation can make these problems feasible for optimisation with …
Read more “In Between the Discrete and Continuous in Neural Networks”