Heidelberg Graduate School HGS MathComp

HGS MathComp Events

WS 12/13SS 13WS 13/14SS 14WS 14/15SS 15WS 15/16SS 16WS 16/17SS 17
Workshops
info  Kognitives Stressmanagement Dipl.-Psych. Walter Ph. Krämer April 12, 2017 15:30-17:00 ECTS-Points: 0
Abstract, registration & information:
Die Bedeutung der mentalen Leistungsfähigkeit nimmt im Wandel der kognitiven Anforderungen einer modernen Arbeitswelt stetig zu. Der Zusammenhang von psychomentaler Überlastung und kognitiven Einschränkungen wird häufig unterschätzt, besonders bei Menschen mit hohem Leistungspotenzial bzw. im Rahmen anspruchsvoller beruflicher Tätigkeiten.
Als Weiterführung der Veranstaltung im Oktober 2016 wird im aktuellen Vortrag insbesondere das kognitive Stressmanagement im Vordergrund stehen.
Einführend soll ein Modell des Nobelpreisträgers Daniel Kahnemann Aufschluss geben, von welchen inneren Faktoren unser Denken und unsere Bewertungsstrategien abhängig sind und in welcher Weise unsere Emotionen unser Denken beeinflussen. Ein Abriss über kognitive Verzerrungen wird veranschaulichen, wie unsere Bewertungen und Schlussfolgerungen im Alltag beeinflusst bzw. verzerrt werden. Als Impuls für einen besseren Umgang mit unserem Denken werden unterschiedliche kognitive Strategien anhand praktischer Beispiele vorgestellt und diskutiert.
Abschließend werden wir der Frage nachgehen, warum Menschen manchmal völlig fern jeder Vernunft handeln, obwohl sie es „eigentlich-besser-wissen- müssten“.
Es werden keine Vorkenntnisse vorausgesetzt.
Bitte hier anmelden
Location:
Im Neuenheimer Feld 205, SR 11
Time:
15:30
ECTS-Points:
0
info  Das individuelle, persönliche Potential erkennen und im Alltag leben, fördern und entfalten Gabriele Braun April 7 & 8, 2017 9:00-17:00 ECTS-Points: 0
Link for more information Location:
Mathematikon, Im Neuenheimer Feld 205, SR 12
Time:
9:00
ECTS-Points:
0
Events
info  tba. Prof. Martin Gander June 21, 2017 / 14:15 ECTS-Points: not yet determined
Abstract, registration & information:
tba.
Link for more information
Location:
Mathematikon, Conference Room / 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
Time:
14:15
ECTS-Points:
not yet determined
info  Deep Learning with Dense Connectivity Prof. Kilian Weinberger May 31, 2017 / 16:15 ECTS-Points: not yet determined
Abstract, registration & information:
Although half a decade has passed since Frank Rosenblatt_s original work on multi-layer perceptrons, modern artificial neural networks are still surprisingly similar to his original ideas.

In this talk I will give a brief introduction on deep neural networks and will question one of their most fundamental design aspects. As networks have become much deeper than had been possible or had even been imagined in the 1950s, it is no longer clear that the layer by layer connectivity pattern is a well-suited architectural choice. In the first part of the talk I will show that randomly removing layers during training can speed up the training process, make it more robust, and ultimately lead to better generalization. We refer to this process as learning with stochastic depth -- as the effective depth of the networks varies for each minibatch. In the second part of the talk I will propose an alternative connectivity pattern, Dense Connectivity, which is inspired by the insights obtained from stochastic depth. Dense connectivity leads to substantial reductions in parameter sizes, faster convergence, and further improvement in generalization. Finally, I
will show examples of problems that were considered challenging but have become surprisingly easy in the light of deep learning.

Biography:
Kilian Weinberger is an Associate Professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in Machine Learning under the supervision of Lawrence Saul and his undergraduate degree in Mathematics and Computer Science from the University of Oxford. During his career he has won several best paper awards at ICML, CVPR, AISTATS and KDD (runner-up award). In 2011 he was awarded the Outstanding AAAI Senior Program Chair Award and in 2012 he received an NSF CAREER award. He was elected co-Program Chair for ICML 2016 and for AAAI 2018. Kilian Weinberger_s research focuses on Machine Learning and its applications. In particular, he focuses on learning under resource constraints, metric learning, machine learned web-search ranking, computer vision and deep learning. Before joining Cornell University, he was an Associate Professor at Washington University in St. Louis and before that he worked as a research scientist at Yahoo! Research in Santa Clara.
Abstract (PDF)
Link for more information
Location:
Mathematikon, Conference Room / 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
Time:
16:15
ECTS-Points:
not yet determined
info  Digital Humanities - Shaping New Avenues of Scholarly Research Prof. Heather Richards-Rissetto May 10, 2017 / 16:15 ECTS-Points: not yet determined
Abstract, registration & information:
The Center for Digital Research in the Humanities (CDRH) at the University of Nebraska-Lincoln (UNL) - founded in 2005 - was one of the earliest Digital Humanities (DH) centers in the world, and is supported by the University as a Center of Excellence as well as by private funds and grants. The Center is a founding member of centerNet, an international network of digital humanities centers, and is an institutional member of the TEI Consortium, the National Humanities Alliance, and the National Humanities Alliance. While the Center’s roots are in Library Science and English, the mission of CDRH is to promote collaborative and transdisciplinary digital humanities research. The Center houses over fifty scholarly projects ranging in scale, topic, and purpose. In the first part of the talk, I will present an overview of these diverse projects, some of their challenges, and their wide-spread impact in the humanities and beyond.

In the second half, I will focus specifically on Digital Cultural Heritage (DCH). Recent DH cluster hires in Anthropology, Classics & Religious Studies, History, and Art & Art History at UNL are facilitating innovative research in DCH. In particular, CDRH scholars are applying and developing Geographic Information Systems (GIS), 3D Modeling, and Virtual Reality (VR) methods and tools to foster new avenues of scholarly research. Underlying much of this research is the need to unite quantitative and qualitative data—requiring new computational methods and 3DGIS tools. I will present some of my experiences, outcomes, and ongoing challenges for three DCH projects — MayaArch3D (2009-2015), MayaCityBuilder (2016-present), and Keeping Data Alive (2017-present) - situating them within the larger framework of Digital Humanities.

Biography:
Heather Richards-Rissetto is an archaeologist specializing in the ancient Maya of Central America. She is Assistant Professor in Anthropology, a Faculty Fellow in the Center for Digital Research in the Humanities (CDHR), and holds a Courtesy Appointment in the School of Natural Resources (SNR) at the University of Nebraska-Lincoln. She received her Ph.D. in Anthropology from the University of New Mexico and her undergraduate degree in Anthropology and Geography from the University of Southern Maine. She uses Geographic Information Systems (GIS) and 3D visualization to investigate how the accessibility and visibility of architecture communicated information and structured social experience and sent political and ideological messages in past societies. She is the Director of the MayaCityBuilder Project that uses procedural modeling for 3D Visualization, Analysis, and Discourse on Ancient Maya cityscapes. The MayaCityBuilder Project builds on the data and results of the MayaArch3D Project (2009-2015) — of which she was the GIS Director. She is also the CoPI on the Project “Keeping data alive: Supporting reuse and repurposing of 3D data in the humanities” — supported by a National Endowment for the Humanities (NEH) Tier I Research and Development Grant, Division of Preservation and Access. Her interests include using gesture-based and immersive technologies such as Microsoft Kinect, Leap Motion, and Oculus Rift to explore new avenues of digital scholarship.
Abstract (PDF)
Link for more information
Location:
Mathematikon, Conference Room / 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
Time:
16:15
ECTS-Points:
not yet determined
info  Swarming, Interaction Energies and PDEs Prof. José A. Carrillo de la Plata May 5, 2017 / 14:15 ECTS-Points: not yet determined
Abstract, registration & information:
I will present a survey of the main results about first and second order models of swarming where repulsion and attraction are modeled through pairwise potentials. We will mainly focus on the stability of the fascinating patterns that you get by random particle simulations, flocks and mills, and their qualitative behavior. Qualitative properties of local minimizers of the interaction energies are crucial in order to understand these complex behaviors. Compactly supported global minimizers determine the flock patterns whose existence is related to the classical H-stability in statistical mechanics and the classical obstacle problem for differential operators.
Abstract (PDF)
Link for more information
Location:
Mathematikon, Conference Room / 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
Time:
14:15
ECTS-Points:
not yet determined
info  Nuclear Shape, ELCS and Epichromatin Prof. Donald Olins & Prof. Ada Olins April 24, 2017 / 16:15 ECTS-Points: 0
Abstract, registration & information:
Cell nuclei are not always spherical; some are highly irregular. The structural basis for this multiplicity of shapes appears to derive from the components of the nuclear envelope and their interactions with cytoskeletal elements. Describing these shapes mathematically is a challenge; explaining their biochemical origin remains a mystery. The goal of this seminar is to discuss aspects of these problems and to provoke comments and ideas from the audience.
Link for more information
Location:
Mathematikon, Conference Room / 5th Floor, Im Neuenheimer Feld 205, 69120 Heidelberg
Time:
16:15
ECTS-Points:
0