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Special Workshop
Recent Advances in Machine Learning and Computational Methods for Geoscience
Date Title / Speaker
October 25, 2018 Advances in Supervised and Semi-Supervised Machine Learning for Image Analysis of Multi-Modal Geospatial Imagery Data
Saurabh Prasad (University of Houston)
 Special Workshop
October 25, 2018 Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models
Velimir Vesselinov (Los Alamos National Laboratory)
 Special Workshop
October 25, 2018 Regularization and Compression via Tensor Dictionaries
Misha Kilmer (Tufts University)
 Special Workshop
October 24, 2018 Machine Learning for Background Estimation in Multispectral Imagery
James Theiler (Los Alamos National Laboratory)
 Special Workshop
October 24, 2018 Harmonization and Fusion of Global Scale Data
Nathan Longbotham (Descartes Labs, Inc.)
 Special Workshop
October 24, 2018 Space-borne SAR interferometry: Three Decades of Innovation and Problem Solving
Manoochehr Shirzaei (Arizona State University)
 Special Workshop
October 23, 2018 Machine Learning in Imaging and Inverse Problems: Where is it Going?
Charles Bouman (Purdue University)
 Special Workshop
October 23, 2018 On the effectiveness of joint inversion
Jodi Mead (Boise State University)
 Special Workshop
October 23, 2018 Impact of geological stress on flow and transport in fractured media
Peter Kang (University of Minnesota, Twin Cities)
 Special Workshop
October 23, 2018 Information-theoretic approaches for multiscale simulations and data assimilation
Francesca Boso (Stanford University)
 Special Workshop
October 23, 2018 Dictionary learning and graph signal processing on a 5200 element seismic array
Peter Gerstoft (University of California, San Diego)
 Special Workshop
October 22, 2018 Inverse methods for estimating fracture transmissibilities in porous media
Clint Dawson (The University of Texas at Austin)
 Special Workshop
October 22, 2018 Geometric separation and applications to hyperspectral image analysis
Demetrio Labate (University of Houston)
 Special Workshop
October 22, 2018 Hierarchical deep generative networks for Bayesian inverse problems
Pengchuan Zhang (Microsoft Research)
 Special Workshop
October 22, 2018 Fast and Accurate Maximum-Likelihood Estimation of Parameterized Spectral Densities that Jointly Characterize Bivariate Two-Dimensional Random Fields
Frederik Simons (Princeton University)
 Special Workshop
October 22, 2018 Multiscale methods for neural image processing
Tom Goldstein (University of Maryland)
 Special Workshop
October 22, 2018 Overview of today’s joint inversion methodology and its future into the machine-learning era for geophysical imaging
Monica Maceira (Oak Ridge National Laboratory)
 Special Workshop
COIN fORgery: Developing Open Source Tools for Operations Research
Date Title / Speaker
October 18, 2018 COIN-OR interfaces: OSI, CGL
Matthew Saltzman (Clemson University)
 Special Workshop
October 17, 2018 Alternative packages for Python bindings
William Hart (Sandia National Laboratories)
 Special Workshop
October 16, 2018 Documentation in the modern age
Giacomo Nannicini (IBM)
 Special Workshop
October 16, 2018 Some Perspectives on Testing and Continuous Integration for Open Source Software
William Hart (Sandia National Laboratories), John Siirola (Sandia National Laboratories)
 Special Workshop
October 16, 2018 Continuous integration and testing in COIN-OR
Ted Ralphs (Lehigh University)
 Special Workshop
October 15, 2018 Project Management
Ted Ralphs (Lehigh University)
 Special Workshop
October 15, 2018 COIN-OR and the Optimization Suite
Ted Ralphs (Lehigh University)
 Special Workshop
Annual Program Workshop
Forging a New Discipline: Data-driven Supply Chain Management
Date Title / Speaker
October 05, 2018 Sample-Based Optimal Pricing
Omar Besbes (Columbia University)
 Annual Program Workshop
October 05, 2018 Design of Information Sharing Mechanisms in Service Systems
Krishnamurthy Iyer (Cornell University)
 Annual Program Workshop
October 05, 2018 Where to find the next passenger on e-hailing platform? - A reinforcement learning approach
Sharon Di (Columbia University)
 Annual Program Workshop
October 04, 2018 Dynamic Assortment Planning under Various Discrete Choice Models
Xi Chen (New York University)
 Annual Program Workshop
October 04, 2018 Closing the Gap: A Learning Algorithm for the Lost-Sales Inventory System with Lead Times
Cong Shi (University of Michigan)
 Annual Program Workshop
October 04, 2018 Distributionally Robust Linear and Discrete Optimization with Marginals
Karthik Natarajan (Singapore University of Technology and Design)
 Annual Program Workshop

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