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September 1, 2019 | September 2, 20195:00 pm: Fall 2019: Foundations of Deep Learning5:00 pm: Fall 2019: Foundations of Deep LearningSeptember 2, 2019 – Sociology-Psychology Building, Duke University 417 Chapel Drive Duke University Durham, NC 27708 Instructor: Course Outline: There will be mathematics in the course, and a degree of mathematical sophistication is expected from the students, but the material will all be self-contained. The emphasis will be upon heuristics and applications. There will be projects and presentations at the end of the semester, and students will work on those in small groups. Each group will need to have at least one member who can program in Python or a comparable language. |
September 3, 2019 | September 4, 20191:15 pm: Fall 2019 Postdoc Seminar Series: Special Guest Lecture - Ernest Fokoue1:15 pm: Fall 2019 Postdoc Seminar Series: Special Guest Lecture - Ernest FokoueSeptember 4, 2019 – SAMSI Campus 79 T.W. Alexander Drive 4501 Research Commons, Suite 310 Durham, NC 2709 U.S. 919-436-4718
Abstract: |
September 5, 2019 | September 6, 2019 | September 7, 2019 |
September 8, 2019 | September 9, 20195:00 pm: Fall 2019: Foundations of Deep Learning5:00 pm: Fall 2019: Foundations of Deep LearningSeptember 9, 2019 – Sociology-Psychology Building, Duke University 417 Chapel Drive Duke University Durham, NC 27708 Instructor: Course Outline: There will be mathematics in the course, and a degree of mathematical sophistication is expected from the students, but the material will all be self-contained. The emphasis will be upon heuristics and applications. There will be projects and presentations at the end of the semester, and students will work on those in small groups. Each group will need to have at least one member who can program in Python or a comparable language. |
September 10, 2019 | September 11, 20191:15 pm: Fall 2019 Postdoc Seminar Series: Special Guest Lecture - Martin Mohlenkamp1:15 pm: Fall 2019 Postdoc Seminar Series: Special Guest Lecture - Martin MohlenkampSeptember 11, 2019 – SAMSI Campus 79 T.W. Alexander Drive 4501 Research Commons, Suite 310 Durham, NC 2709 U.S. 919-436-4718 Talk Title: Attacking the Curse of Dimensionality using Sums of Separable Functions Abstract: |
September 12, 2019 | September 13, 2019 | September 14, 2019 |
September 15, 2019 | September 16, 20195:00 pm: Fall 2019: Foundations of Deep Learning5:00 pm: Fall 2019: Foundations of Deep LearningSeptember 16, 2019 – Sociology-Psychology Building, Duke University 417 Chapel Drive Duke University Durham, NC 27708 Instructor: Course Outline: There will be mathematics in the course, and a degree of mathematical sophistication is expected from the students, but the material will all be self-contained. The emphasis will be upon heuristics and applications. There will be projects and presentations at the end of the semester, and students will work on those in small groups. Each group will need to have at least one member who can program in Python or a comparable language. |
September 17, 2019 | September 18, 20191:15 pm: Fall 2019 Postdoc Seminar Series1:15 pm: Fall 2019 Postdoc Seminar SeriesSeptember 18, 2019 – SAMSI Campus 79 T.W. Alexander Drive 4501 Research Commons, Suite 310 Durham, NC 2709 U.S. 919-436-4718 Talk Title: Multifidelity Computer Model Emulation with High-Dimensional Output AbstractHurricane-driven storm surge is one of the most deadly and costly natural disasters, making precise quantification of the surge hazard of great importance. Physics-based computer models of storm surge can be implemented with a wide range of fidelity due to the nature of the system, though the danger posed by surge makes greater fidelity highly desirable. However, such models and their high-dimensional outputs tend to come at great computational cost, which can make highly detailed studies prohibitive. These needs make the development of an emulator combining high-dimensional output from multiple complex computer models with different fidelity levels important. We propose a parallel partial autoregressive cokriging model that is able to address these issues. Based upon the data-augmentation technique, model parameters are estimated via Monte Carlo expectation-maximization algorithm and prediction is made in a computationally efficient way when input designs across different fidelity levels are not nested. With this methodology, the high-fidelity storm surges can be generated much more quickly in coastal flood studies, and hence can facilitate the risk assessment of storm surge hazards. ReferencesNo references provided at this time |
September 19, 2019 | September 20, 20198:30 am: Triangle Machine Learning Day8:30 am: Triangle Machine Learning DaySeptember 20, 2019 – Penn Pavilion, Duke University 107 Union Drive Duke University Durham, NC 27710 Description: Topics include predictive modeling and data science applications, algorithm design, reinforcement learning, natural language processing, etc. The program will include a poster session, and anyone wishing to contribute a poster must submit an abstract; not all abstracts will be selected as posters, depending on space limitations. The due date for poster submissions is August 29, 2019. Poster selections will be announced on September 5th. Heavy snacks will be provided for all participants, lunch and breakfast are on your own. There are a large number of restaurants at the neighboring Brodhead Center. |
September 21, 2019 |
September 22, 2019 | September 23, 20195:00 pm: Fall 2019: Foundations of Deep Learning5:00 pm: Fall 2019: Foundations of Deep LearningSeptember 23, 2019 – Sociology-Psychology Building, Duke University 417 Chapel Drive Duke University Durham, NC 27708 Instructor: Course Outline: There will be mathematics in the course, and a degree of mathematical sophistication is expected from the students, but the material will all be self-contained. The emphasis will be upon heuristics and applications. There will be projects and presentations at the end of the semester, and students will work on those in small groups. Each group will need to have at least one member who can program in Python or a comparable language. |
September 24, 2019 | September 25, 20191:15 pm: Fall 2019 Postdoc Seminar Series1:15 pm: Fall 2019 Postdoc Seminar SeriesSeptember 25, 2019 – SAMSI Campus 79 T.W. Alexander Drive 4501 Research Commons, Suite 310 Durham, NC 2709 U.S. 919-436-4718 Talk Title: Analyzing Collective Motion with Machine Learning and Topology AbstractWe use topological data analysis and machine learning to study a seminal model of collective motion in biology. This model describes agents interacting nonlinearly via attractive-repulsive social forces and gives rise to collective behaviors such as flocking and milling. To classify the emergent collective motion in a large library of numerical simulations and to recover model parameters from the simulation data, we apply machine learning techniques to two different types of input. First, we input time series of order parameters traditionally used in studies of collective motion. Second, we input measures based in topology that summarize the time-varying persistent homology of simulation data over multiple scales. This topological approach does not require prior knowledge of the expected patterns. For both unsupervised and supervised machine learning methods, the topological approach outperforms the traditional one. ReferencesNo references provided at this time |
September 26, 2019 | September 27, 2019 | September 28, 2019 |
September 29, 2019 | September 30, 20195:00 pm: Fall 2019: Foundations of Deep Learning5:00 pm: Fall 2019: Foundations of Deep LearningSeptember 30, 2019 – Sociology-Psychology Building, Duke University 417 Chapel Drive Duke University Durham, NC 27708 Instructor: Course Outline: There will be mathematics in the course, and a degree of mathematical sophistication is expected from the students, but the material will all be self-contained. The emphasis will be upon heuristics and applications. There will be projects and presentations at the end of the semester, and students will work on those in small groups. Each group will need to have at least one member who can program in Python or a comparable language. |
October 1, 2019 | October 2, 20191:15 pm: Fall 2019 Postdoc Seminar Series1:15 pm: Fall 2019 Postdoc Seminar SeriesOctober 2, 2019 – SAMSI Campus 79 T.W. Alexander Drive 4501 Research Commons, Suite 310 Durham, NC 2709 U.S. 919-436-4718 Talk Title: To be determined AbstractTo be determined ReferencesNo references provided at this time |
October 3, 2019 | October 4, 2019 | October 5, 2019 |