Konferenzen zum Thema Angewandte Mathematik (allgem.) in den Vereinigten Staaten (USA)

IPAM

This workshop will bring together researchers working on the theoretical sides of deep learning techniques for perception and control of automated vehicles with researchers interested in assuring these autonomous systems operate with safety guarantees. Moreover, experts in sensing and imaging technology will be brought to the table, to cover the full pipeline from the collection of the data, over the AI theory and development, all the way to the software and actuation challenges. Additional themes addressed in this workshop include interactions between vehicle sensing and the infrastructure, and cybersecurity aspects related to sensing and machine learning (how to purposefully mislead sensors and AI).

Part of the Long Program Mathematical Challenges and Opportunities for Autonomous Vehicles

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Robotik, Automatisierung & Mechatronik

All aspects of string processing, information retrieval, computational biology, and related applications are covered.

Graphentheorie und Kombinatorik,    Informations & Wissensmanagement, Big Data Computing

WACV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

Mustererkennung und Bildverarbeitung, Maschinelles Sehen,    Robotik, Automatisierung & Mechatronik

Society for Industrial and Applied Mathematics (SIAM)

Mathematical Sciences Research Institute (MSRI)

The workshop will address topics in the PDE analysis of the basic equations of the incompressible fluid dynamics (the Euler equations for inviscid flows, the Navier Stokes equations for viscous flows), interface problems (water waves), and other related equations. Open problems and connections to related branches of mathematics will be discussed, including the phenomena of turbulence and the zero viscosity limit. Both theoretical and numerical aspects of these topics will be considered. There will be some colloquium style lectures as well as shorter research talks. The workshop is open to all.

Society for Industrial and Applied Mathematics (SIAM)

Sponsored by the SIAM Activity Group on Computational Science and Engineering.

UCLA / Institute for Pure and Applied Mathematics (IPAM)

Linear algebra is an essential tool in mathematics, science, and engineering, as almost all natural processes are linear in small increments. The most natural generalization of linear algebra is multilinear algebra where matrices are replaced by tensors. While exciting results have emerged from various research communities, there has not been much exchange and collaboration between theoreticians and developers of practical algorithms. The aim of this long term program is to bring together experts and junior participants from different fields and experiences, to exchange ideas, tackle challenges, collaborate, and advances the general field of tensor methods. We foresee this program to be a milestone platform for the future development of the research area and to have a long standing impact.

The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications.

Compression of specific types of data (text, images, video, etc.). Compression in networking, communications, and storage. Applications to bioinformatics. Applications to mobile computing. Applications to information retrieval. Computational issues for compression related applications. Inpainting-based compression, perceptual coding. Compressed data structures. Quantization theory, and vector quantization (VQ). Joint source-channel coding. Compression related standards.

Datenbanktechlologie,    Algorithmen

UCLA / Institute for Pure and Applied Mathematics (IPAM)

This workshop aims to bring together experts from different communities working on tensor methods and their applications. Tensors and tensor networks are an important object of study in computational many-body physics and chemistry as well as quantum information theory. With the emergence of big data, methods and theory for tensor decomposition have become important in probability, statistics, and machine learning as well. Tensor methods have also received a fair amount of attention from the mathematical community due to their intriguing algebraic and geometric properties, as well as their relationship to computational complexity. This workshop will feature introductory talks from leading experts in all of these fields. The aim of the workshop is to initiate the exchange of ideas between the fields, lead to the beginnings of new interdisciplinary collaborations, and give a good start to the long-term program.

American Institute of Mathematics (AIM)

This workshop, sponsored by AIM and the NSF, is devoted to the phenomena of criticality and stochasticity which co-occur in many interesting nonlinear partial differential equations (PDEs). It is designed to help strengthen and expand the deep connections between these phenomena by gathering researchers with different backgrounds in these areas, encouraging discussions of recent developments as well as open problems, and fostering collaborations during and after the workshop. In particular, the workshop will focus on a certain PDEs for which these phenomena play a major role; namely, the 3D Euler and Navier-Stokes (NS) equations of incompressible fluids, the 2D surface quasi-geostrophic (SQG) equation of geophysical flows, and the 3D Hall-magnetohydrodynamic (Hall-MHD) system.

Komplexe Systeme und Chaos ,    Thermodynamik, Hydrodynamik und Statistische Mechanik

Mathematical Sciences Research Institute (MSRI)

The aim of the workshop is to bring together a broad array of researchers working on incompressible fluid dynamics. Some of the key topics to be covered are Euler flows, Navier Stokes equations as well as water wave flows and associated model equations. Some emphasis will also be placed on numerical analysis of the above evolutions.

UCLA / Institute for Pure and Applied Mathematics (IPAM)

Due to their high complexity, our understanding of strongly correlated quantum many-body systems is still limited. This concerns, for example, both static and dynamical equilibrium properties of fermionic systems and quantum magnets in condensed matter physics, as well as complex molecules with strong entanglement in quantum chemistry. Other big challenges are the analysis of non-equilibrium dynamics of closed systems, systems interacting with an environment, and transport problems. Tensor network states such as MPS, TTN, PEPS, and MERA are designed to capture the structure of entanglement in quantum systems in compressed representations. They are also particularly well-suited for the study of topological ordered phases of matter which cannot be described within the framework of spontaneous symmetry breaking. A better mathematical understanding of approximate tensor network representations is emerging for cycle-free networks like MPS and TTN.

UCLA / Institute for Pure and Applied Mathematics (IPAM)

This workshop aims to bring together researchers with different expertise to exchange ideas on designing computational methods for various tensor problems. One of the main features will be a focus on rigorous algorithms for which one may guarantee convergence to a global solution under reasonable conditions. Topics will include provable algorithmic guarantees in terms of computational efficiency and robustness, algorithmic techniques like spectral methods, iterative methods for nonconvex optimization, and powerful convex relaxation hierarchies like sum-of-squares, etc, where correctness guarantees may be established under suitable assumptions motivated by applications. A secondary goal is to better delineate and understand the boundary separating the possible from the impossible in tensor computations — computational tractability vs intractability, existence/uniqueness vs nonexistence/nonuniqueness of solutions, tameness vs wildness, etc.

Mathematical Sciences Research Institute (MSRI)

The talks in this workshop will present a wide array of current applications of topology in neuroscience, including classification and synthesis of neuron morphologies, analysis of synaptic plasticity, algebraic analysis of the neural code, topological analysis of neural networks and their dynamics, topological decoding of neural activity, diagnosis of traumatic brain injuries, and topological biomarkers for psychiatric disease. Some of the talks will be devoted to promising new directions in algebraic topology that have been inspired by neuroscience.

UCLA / Institute for Pure and Applied Mathematics (IPAM)

The first emphasis of this workshop will be on the theory of recovering efficient tensor representations from empirical data, as studied e.g. in the context of low-rank tensor completion or matrix-product state learning. We will focus both on algorithmic and on statistical aspects. The second emphasis of the workshop will be on applications of efficient tensor representations to theoretical computer science, particularly computational complexity theory. A closely related area that will also be covered is the resource theory of tensors in quantum information theory.

Society for Industrial and Applied Mathematics (SIAM)

Wissenschaftliches Rechnen,    Massenspektrometrie, Chromatographie und Kernspinresonanzspektroskopie

Wissenschaftliches Rechnen,    Massenspektrometrie, Chromatographie und Kernspinresonanzspektroskopie

MRSI – Mathematical Sciences Research Institute, Berkeley

This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.

Kurse und Veranstaltungen für Studenten der Mathematik,    Informations & Wissensmanagement, Big Data Computing

Society for Industrial and Applied Mathematics (SIAM)

This Conference is an outgrowth of the new SIAM Activity Group on ACDA, founded last year, which aims to create a professional home for the broad, dispersed community of researchers working on applications of discrete mathematics. In particular, we want to foster a rich interplay between concrete applications and theoretical advancement/algorithm development for combinatorial problems. As such, we would like the ACDA conference to be an attractive meeting for researchers working on applied discrete math within many communities – including combinatorial scientific computing, discrete computational biology, theoretical computer science, network science, combinatorial optimization, algorithm engineering, parallel algorithms and more.

Numerische Analysis,    Algorithmen

Society for Industrial and Applied Mathematics (SIAM)

The purpose of this conference is to highlight the major theoretical advances in the field, the development of new tools for discrete mathematics, and the most significant of the new applications of discrete mathematics to problems arising in industry and business. The conference also seeks to bring together participants from the many different environments where discrete mathematics is developed and applied.

This is the meeting of the SIAM Activity Group on Discrete Mathematics.

Numerische Analysis,    Algorithmen