Seminars

Complex/Dynamical Systems Seminar - Javier Buldu

March 4, 2021

Javier Buldu; Applied Mathematics, Materials Science and Engineering and Electronic Technology; University of King Juan Carlos; Madrid, Spain How to use Network Science to unveil football's complexity The recent ability to record, tag, and evaluate the outcome of all events occurring during a football match, including the Euclidean position of...

APPM Department Colloquium - Dumitru Erhan

March 1, 2021

Dumitru Erhan, Staff Research Scientist and Tech Lead Manager, Google Brain Enabling world models via unsupervised representation learning of environments. In order to build intelligent agents that quickly adapt to new scenes, conditions, tasks, we need to develop techniques, algorithms and models that can operate on little data or that...

APPM Department Colloquium - Kalesha Bullard

Feb. 26, 2021

Kalesha Bullard, Postdoctoral Researcher, Facebook AI Research Learning through Interaction in Cooperative Multi-Agent Systems Effective communication is an important skill for enabling information exchange and cooperation in multi-agent systems, in which agents coexist in a shared environment with humans and/or other artificial agents. Indeed, human domain experts can be a...

APPM Department Colloquium - Mingxing Tan

Feb. 26, 2021

Mingxing Tan, Staff Software Engineer, Google Brain AutoML for Efficient Vision Learning This talk will focus on a few recent progresses we have made on AutoML, particularly on neural architecture search for efficient convolutional neural networks. We will first discuss the challenges and solutions in designing network architecture search spaces...

APPM Special Seminar - Shilpa Khatri

Feb. 26, 2021

Shilpa Khatri; Health Sciences Research Institute; University of California, Merced Numerical methods for fluid-structure interactions and multiphase flow within marine phenomena To understand the fluid dynamics of marine phenomena, for example particles settling, droplets rising, pulsating coral, and sniffing crabs, fluid-structure and multiphase flow problems must be solved. Challenges exist...

APPM Special Seminar - Olaniyi Iyiola

Feb. 25, 2021

Olaniyi Iyiola, Department of Mathematics and Physical Sciences, California University of Pennsylvania Efficient Methods for Solving Diffusion-Reaction Systems of Fractional Order Type Nonlocality and spatial heterogeneity of many practical systems have made fractional differential equations very useful tools in Science and Engineering. However, solving these type of models is computationally...

Joint APPM/PHYS Colloquium - Philip Stark

Feb. 24, 2021

Philip Stark; Department of Statistics; University of California, Berkeley Evidence-Based Elections Elections rely on people, hardware, and software, all of which are fallible and subject to manipulation. Well resourced nation-states continue to attack U.S. elections. Voting equipment is built by private vendors–some foreign, but all using foreign parts. Many states...

APPM Special Seminar - Eduardo Corona

Feb. 23, 2021

Eduardo Corona, Assistant Professor of Mathematics, New York Institute of Technology Fast computational frameworks for particulate media simulation Granular media and “wet” particle suspensions are two important models of soft matter. They are crucial to the study of soil mechanics, biological media self-assembly and smart material design. In this talk,...

APPM Special Seminar - Yunan Yang

Feb. 22, 2021

Yunan Yang; Courant Instructor; Courant Institute of Mathematical Sciences, New York University Optimal Transport for Inverse Problems and the Implicit Regularization Optimal transport has been one interesting topic of mathematical analysis since Monge (1781). The problem's close connections with differential geometry and kinetic descriptions were discovered within the past century,...

APPM Department Colloquium - Jeffrey Pennington

Feb. 19, 2021

Jeffrey Pennington, Research Scientist, Google Brain Demystifying deep learning through high-dimensional statistics As deep learning continues to amass ever more practical success, its novelty has slowly faded, but a sense of mystery persists and we still lack satisfying explanations for how and why these models perform so well. Among the...

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