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Thu, 12. Dec at 14:00
Amoebas: at the intersection of discrete, differential, and algebraic geometry
Thu, 12. Dec at 16:00
BEL 301
Thesis defense
Abstract. Thesis defense Dante Luber
Fri, 13. Dec at 13:00
FU Berlin, Arnima...
What is Kazhdan Property (T)?
Abstract. Property (T), a rigidity property for groups, was introduced by Kazhdan in 1967. It is connected to the theory of expander graphs, which are sequences of graphs that are sparse and well connected at the same time. Notably, Margulis in 1973 exploited property (T) and constructed the first explicit example of an expander. While existence of expanders was known thanks to a probabilistic proof, an explicit construction was a highly non-trivial problem at the time. In this talk, I will define both property (T) and expander graphs. The example of special linear groups will exemplify Margulis' construction. In the end, I will briefly mention a higher dimensional analogue of property (T) that has attracted interest over the past decade.
Fri, 13. Dec at 14:15
FU
From Kazhdan’s property (T) to higher-dimensional expansion
Tue, 17. Dec
WIAS HVP5-7 R411 ...
Multi-objective optimization with linear hyperbolic PDE constraints: generalized Nash equilibrium problems and gas market applications
Abstract. The concept of Nash equilibrium is fundamental to a wide range of applications, spanning fields from particle mechanics to micro and macroeconomics. However, much of the existing literature focuses on finite-dimensional settings. In this seminar, we draw on energy markets coupled with transport dynamics to motivate the study of multi-objective optimization problems with hyperbolic PDE constraints. We will explore the core ideas and challenges posed by generalized Nash equilibrium problems, particularly those related to dimensionality and regularity. Finally, we present some recent results on the existence and characterization of equilibria, emphasizing optimality conditions as a framework for understanding such solutions.
Tue, 17. Dec at 11:15
1.023 (BMS Room, ...
Limits in topological recursion
Abstract. I will discuss the subtle aspects of the behavior of topological recursion (= seen as the construction of W-algebra modules from branched covers of curves) along families of spectral curves. To do so, I will review basics of singularities of plane curves
Tue, 17. Dec at 11:15
1.023 (BMS Room, ...
Moduli spaces of flat connections as Kähler spaces, part III
Abstract. Building on earlier sessions, we will propose the existence of an approach to obtain Kähler structures on the moduli spaces analogous to the quasi-Hamiltonian reduction.
Wed, 18. Dec at 11:30
online
Computational Aspects of Quadratic Forms in Determining the Representation Type of Quiver Algebras
Abstract
Wed, 18. Dec at 16:00
Wed, 18. Dec at 16:00
Wed, 18. Dec at 16:30
EN 058
Tue, 07. Jan at 11:15
1.023 (BMS Room, ...
Wed, 08. Jan at 10:00
HVP 11 a, R.313
Statistical stimation using zeroth-order optimization
Abstract. In this talk, we study statistical properties of zeroth-order optimization schemes, which do not have access to the gradient of the loss and rely solely on evaluating the loss function. Such methods are often considered to be suboptimal for high-dimensional problems, as their convergence rates to the minimizer of the objective function are typically slower than those of gradient-based methods. This performance gap becomes more pronounced as the number of parameters increases. Considering the linear model, we show that reusing the same data point for multiple zeroth-order updates can overcome the gap in the estimation rates. Additionally, we demonstrate that zeroth-order optimization methods can achieve the optimal estimation rate when only queries from the linear regression model are available. Special attention will be given to the non-standard minimax lower bound in the query model. This is joint work with Thijs Bos, Niklas Dexheimer and Wouter Koolen.
Wed, 08. Jan at 15:15
WIAS, Erhard-Schm...
Estimates for operator functions
Abstract
Thu, 09. Jan at 14:00
Fri, 10. Jan at 14:15
FU
Rough Analysis
Fri, 10. Jan at 14:15
FU
Tue, 14. Jan at 11:15
1.023 (BMS Room, ...
Limits in topological recursion
Abstract. I will discuss the subtle aspects of the behavior of topological recursion (= seen as the construction of W-algebra modules from branched covers of curves) along families of spectral curves. To do so, I will review basics of singularities of plane curves and discuss (maximal) equigeneric families.
Wed, 15. Jan at 10:00
HVP 11 a, R.313
Cryptos have rough volatility and correlated jumps
Wed, 15. Jan at 11:30
online
Data Transmission in Dynamical Random Networks
Abstract
Wed, 15. Jan at 11:30
online
Data Transmission in Dynamical Random Networks
Abstract
Wed, 15. Jan at 15:15
WIAS, Erhard-Schm...
The Cahn-Hilliard equation with dynamic boundary conditions and its application to two-phase flows
Abstract
Wed, 15. Jan at 16:00
Wed, 15. Jan at 16:00
Thu, 16. Jan at 14:00
Amoebas: at the intersection of discrete, differential, and algebraic geometry
Tue, 21. Jan at 11:15
1.023 (BMS Room, ...
Isomonodromic deformations, quantization and exact WKB
Abstract. In this talk, I will review the theory of isomonodromic deformations of meromorphic connections on gl2 and the underlying symplectic structure. In particular, I will explain how to obtain explicit formulas for the Hamiltonian systems and the Lax pairs. Next, I will explain how one can formally reconstruct these results using the quantization of the classical spectral curve using topological recursion. Finally, I will explain the current challenges and results to upgrade this formal reconstruction to an analytic one focusing on the genus zero case where one can use Borel resummation of WKB solutions. The talk is supposed not to require any knowledge in integrable systems, topological recursion of Borel resummation.
Wed, 22. Jan at 14:00
WIAS, Erhard-Schm...
Gradient flows on metric graphs with reservoirs
Abstract
Wed, 22. Jan at 15:30
WIAS, Erhard-Schm...
Tue, 28. Jan at 11:15
1.023 (BMS Room, ...
Wed, 29. Jan at 11:30
online
Coherent Transport of Semiconductor Spin-Qubits: Modeling, Simulation and Optimal Control
Abstract
Wed, 29. Jan at 16:00
Thu, 30. Jan at 14:00
Thu, 30. Jan at 17:15
TU Berlin, Instit...
Robust Portfolio Selection Under Recovery Average Value at Risk
Abstract. We study mean-risk optimal portfolio problems where risk is measured by Recovery Average Value at Risk, a prominent example in the class of recovery risk measures. We establish existence results in the situation where the joint distribution of portfolio assets is known as well as in the situation where it is uncertain and only assumed to belong to a set of mixtures of benchmark distributions (mixture uncertainty) or to a cloud around a benchmark distribution (box uncertainty). The comparison with the classical Average Value at Risk shows that portfolio selection under its recovery version allows financial institutions to better control the recovery of liabilities while still allowing for tractable computations. The talk is based on joint work with Cosimo Munari, Justin PlĂĽckebaum and Lutz Wilhelmy.
Tue, 04. Feb at 11:15
1.023 (BMS Room, ...
Bi-Hamiltonian geometry of WDVV equations: general results
Abstract. It is known (work by Ferapontov and Mokhov) that a system of N-dimensional WDVV equations can be written as a pair of N-2 commuting quasilinear systems (first-order WDVV systems). In recent years, particular examples of such systems were shown to possess two compatible Hamiltonian operators, of the first and third order. It was also shown that all $3$-dimensional first-order WDVV systems possess such bi-Hamiltonian formalism. We prove that, for arbitrary N, if one first-order WDVV system has the above bi-Hamiltonian formalism, than all other commuting systems do. The proof needs some interesting results on the structure of the WDVV equations that will be discussed as well. (Joint work with S. Opanasenko).
Wed, 05. Feb at 15:15
WIAS, Erhard-Schm...
Tue, 11. Feb at 11:15
1.023 (BMS Room, ...
Wed, 12. Feb at 11:30
online
Hybrid Models for Large Scale Infection Spread Simulations
Abstract
Wed, 12. Feb at 15:15
WIAS, Erhard-Schm...
Wed, 12. Feb at 16:00
Mon, 10. Mar at 13:30
WIAS ESH
First Optimize, Then Discretize for Scientific Machine Learning
Abstract. This talk provides an infinite-dimensional viewpoint on optimization problems encountered in scientific machine learning and discusses the paradigm first optimize, then discretize for their solution. This amounts to first choosing an appropriate infinite-dimensional algorithm which is subsequently discretized in the tangent space of the neural network ansatz. To illustrate this point, we show that recently proposed state-of-the-art algorithms for scientific machine learning applications can be derived within this framework. Finally, we discuss the crucial aspect of scalability of the resulting algorithms.