Courses and Events for Math Students and Early Career Researchers in the United States (USA)

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1
Introductory Workshop: Microlocal Analysis
03 Sep 2019 - 06 Sep 2019 • Berkeley, California, United States
Organizer:
Mathematical Sciences Research Institute (MSRI), Berkeley
Abstract:
This workshop will provide a comprehensive introduction to the field for postdocs and graduate students as well as specialists outside the field, building up from standard facts about the Fourier transform, distributions and basic functional analysis.
Event listing ID:
1170994
Related subject(s):
2
Workshop I — From Passive to Active: Generative and Reinforcement Learning with Physics
23 Sep 2019 - 27 Sep 2019 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
Part of the Long Program Machine Learning for Physics and the Physics of Learning.

The workshop will examine how to plan experiments in order to use information in a cost-optimal way. It will also include the application of these modalities to training complex models, such as deep architectures, and the transfer of these ideas to the generation of physically-relevant complex structures such as chemical structures, molecular structures, scalar or vector fields in fluid dynamics or electrodynamics, proposal steps for Markov chain Monte Carlo of physical systems etc.

Event listing ID:
1170931
3
Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature
28 Oct 2019 - 01 Nov 2019 • UCLA, Los Angeles, California, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
Part of the Long Program Machine Learning for Physics and the Physics of Learning.

This workshop will showcase how to employ mathematical aspects of statistical / information theoretic approaches in ML for the discovery of physical laws from data. Offering statistical guarantees along with the learned models is critical in physics and in areas such as aeronautics, climate science, chemistry, biology, and robotics. We will consider model selection, robust statistics, model-free and adaptive learning, and model validation in the context of both static and dynamic models, such as equations of motion.

Event listing ID:
1170880
4
2019 Field of Dreams Conference
08 Nov 2019 - 10 Nov 2019 • St. Louis, MO, United States
Organizer:
Department of Mathematics, Purdue University
Abstract:
Each Fall Alliance Scholars, together with their Alliance Mentors, are invited to the Field of Dreams Conference. The Field of Dreams Conference introduces potential graduate students to graduate programs in the mathematical sciences at Alliance schools as well as professional opportunities in these fields. Scholars spend time with faculty mentors from the Alliance schools, get advice on graduate school applications, and attend seminars on graduate school preparation and expectations as well as career seminars.
Event listing ID:
1170893
5
Triangle Lectures in Combinatorics
16 Nov 2019 • North Carolina State University, Raleigh, NC, United States
Abstract:
These are a series of combinatorial workshops, held once per semester, each on a Saturday. The series began with its first meeting in spring 2010. They rotate among the universities in and around the Research Triangle. Participants come from numerous colleges and universities within a few hours drive, and some from even farther away. These workshops are funded by the National Science Foundation, in particular enabling us to bring in four exciting speakers to give one hour talks each time as well as funding travel expenses for participants.
Event listing ID:
1243500
Related subject(s):
6
Workshop IV: Using Physical Insights for Machine Learning
18 Nov 2019 - 22 Nov 2019 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
Part of the Long Program Machine Learning for Physics and the Physics of Learning.

In this workshop we will explore how to use physical intuition and ideas to design new classes of machine learning (ML) algorithms. Physics-inspired sampling algorithms could be used to train ML structures or sample the hyper-parameter space (e.g. deep Neural Networks). Additionally, physics-based models such as Ising/Potts models or energy-based models have influenced ML inference frameworks such as Markov Random Fields and Restricted Boltzmann Machines, and we want to continue the discussion to facilitate this innovation transfer. Finally, physical insight could be used to enhance learning in the situation of scarce data by enforcing smoothness, differentiability or other physical properties relevant to a given problem.

Event listing ID:
1170851
7
Long Program — High Dimensional Hamilton-Jacobi PDEs
09 Mar 2020 - 12 Jun 2020 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
Applications that involve HJ PDEs in a high-dimensional (and possibly infinite-dimensional) setting lead to challenging computational problems. Although a large literature is available on HJ PDEs, many challenges remain both from a mathematical and computational point of view. The program will open with one week of tutorials, presented by some of the main organizers. These tutorials will provide an introduction to the major themes of the entire program and connect the themes of the four workshops. The goal is to introduce a common language and build a foundation for the participants of this program who have diverse scientific backgrounds. During the weeks between workshops, participants in residence will develop collaborations; we expect fruitful discussions especially between domain scientists, algorithm developers and pure and applied mathematicians.
Event listing ID:
1173017
8
High Dimensional Hamilton-Jacobi PDEs — Workshop I: High Dimensional Hamilton-Jacobi Methods in Control and Differential Games
30 Mar 2020 - 03 Apr 2020 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
Ideas to be explored in the workshop include different computational methodologies for efficient real-time solution of nonlinear HJ equations in reachability, optimal control, and differential games. Ideas such as efficient reduced-complexity computation of optimal control solutions, exploiting structure to decompose the solution space to scalable computations and reduced-complexity feedback structures for efficient implementation of optimal controllers based on available data will be considered.
Event listing ID:
1172930
9
High Dimensional Hamilton-Jacobi PDEs — Workshop II: PDE and Inverse Problem Methods in Machine Learning
20 Apr 2020 - 24 Apr 2020 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
This workshop will bring together researchers with background in PDEs, Inverse Problems, and Scientific Computing who are already working in machine learning, along with researchers who are interested in these approaches.
Event listing ID:
1172950
10
High Dimensional Hamilton-Jacobi PDEs — Workshop III: Mean Field Games and Applications
04 May 2020 - 08 May 2020 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
This week-long workshop on Mean Field Games (MFG) and Applications for has a number of goals: (i) to gather together leading researchers in MFG and certain cognate areas (economics, optimal transportation, finite dimensional Hamilton-Jacobi equations, Stochastic equations, applied control, numerics). (ii) to expose new researchers to the promise of the field and its array of challenges, while grounding them in its basic techniques; (iv) to make available to the wider community a series of broad interest talks on MFG.
Event listing ID:
1173026
11
High Dimensional Hamilton-Jacobi PDEs — Workshop IV: Stochastic Analysis Related to Hamilton-Jacobi PDEs
18 May 2020 - 22 May 2020 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
In spite of its flexibility, computing nonlinear problems in random media is very expensive. Hence, in practice, it is needed to consider environments which are small random perturbations of periodic ones, and then to obtain some asymptotic expansion for the ergodic constants. Concrete examples of such phenomena that relate to Hamilton-Jacobi equations are large deviations, front propagation and random walks in random media. The latter strengthens the connection with probability.
Event listing ID:
1173036
12
Graduate Summer School: Mathematics of Topological Phases of Matter
22 Jun 2020 - 26 Jun 2020 • Los Angeles, CA, United States
Abstract:
The application of topology to physics has become an integral part of a second quantum revolution in the sciences. The discovery of topological insulators and progress towards topological superconductors realizing non-abelian statistics has moved topological phases of matter onto the center stage in the interaction of topology and physics beyond the quantum Hall effect. While topological physics has been intensively investigated by physicists for the last few decades, the mathematical theory lags far behind. One challenge is formulating the right definition of topological phases of matter, which is closely related to the notoriously difficult problem of finding a rigorous mathematical formulation of quantum field theory. In this summer school, we will focus on two relatively mature foundational topics, and two new directions in the mathematics of topological phases of matter.
Event listing ID:
1265906
13
Introductory Workshop: Decidability, definability and computability in number theory
24 Aug 2020 - 28 Aug 2020 • Berkeley, California, United States
Organizer:
Mathematical Sciences Research Institute – MSRI
Event listing ID:
1245759
Related subject(s):
14
MSRI semester — Illustrating mathematics
04 Sep 2020 - 06 Dec 2020 • Providence, Rhode Island, United States
Abstract:
The Illustrating Mathematics program brings together mathematicians, makers, and artists who share a common interest in illustrating mathematical ideas via computational tools.

The program includes week-long workshops in Geometry and Topology, Algebra and Number Theory, and Dynamics and Probability, as well as master courses, seminars, and an art exhibition.

Topics:
moduli spaces of geometric structures, hyperbolic geometry, configuration spaces, sphere eversions, apollonian packings, kleinian groups, sandpiles and tropical geometry, analytic number theory, supercharacters, complex dynamics, billiards, random walks, and Schramm–Loewner evolution
Event listing ID:
1074334


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Last updated: 20 August 2019