SEMINARS
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Optimisation-Based Sampling Approaches for Hierarchical Bayesian Inference
- Tiangang Cui, Monash University
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2018.06.25, 14:00-15:00
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A Hierarchical Random Compression Method for Kernel Matrices
- Duan Chen, University of North Carolina
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2018.06.21, 14:00-15:00
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Entropy and Renormalized Solutions for Quasilinear Elliptic (Parabolic) Equations and Fractional Parabolic Equations with L1 Data
- Shulin Zhou, Peking University
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2018.06.21, 13:00-14:00
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An Alexander Polynomial for Graphs
- Zhongtao Wu, The Chinese University of Hong Kong
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2018.06.15, 13:00-14:00
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Understanding Graphs through Spectral Densities
- David Bindel, Department of Computer Science, Cornell University
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2018.06.13, 16:15-17:30
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Linear Complementarity Problems: Applications, Formulations and Algorithms
- Joaquim Júdice, Instituto de Telecomunicacoes, Portugal
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2018.06.13, 14:00-15:00
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An Effective Generalization of Liouville`s Theorem for Projective Varieties
- Francois Ballay, Beijing International Center for Mathematical Research (BICMR) Peking University. Beijing.
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2018.06.13, 14:00-15:00
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Clusters of Lysozyme in Aqueous Solutions
- Andriy Baumketner, Ukraine Academy of Sciences
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2018.06.11, 10:00-11:00
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Neuron Field Models: Beyond the Mean-Field Approximation
- Yao Li, Department of Mathematics and Statistics, University of Massachusetts Amherst
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2018.06.08, 13:00-14:00
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Vesicle Shape and Water Permeation
- Jiaye Su, Nanjing University of Science and Technology
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2018.06.08, 10:00-11:00
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Quantum Information Experiments using Few Electrons in Semiconductor Quantum Dots
- Dohun Kim, Seoul National University
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2018.06.06, 15:00-16:00
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Hypothesis Testing in High-Dimensional Linear Regression: A Simple and Adaptive Scale-Invariant Test
- Jin-Ting Zhang, National University of Singapore
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2018.06.06, 15:00-16:00
