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April 22, 2019 |
Lecture
Thomas Hou (California Institute of Technology) |
Data Science Seminar |
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February 08, 2019 |
Lecture
Karyn Sutton (The Institute for Disease Modeling) |
Industrial Problems Seminar |
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January 28, 2019 |
Lecture
Guanglin Xu (University of Minnesota, Twin Cities) |
Data Science Seminar |
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December 10, 2018 |
Lecture
Lori Ziegelmeier (Macalester College) |
Data Science Seminar |
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November 29, 2018 |
Math Dept Colloquium Lecture
Lexing Ying (Stanford University) |
Data Science Seminar |
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November 28, 2018 |
Lecture
Lexing Ying (Stanford University) |
Data Science Seminar |
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November 26, 2018 |
Lecture
Lexing Ying (Stanford University) |
Data Science Seminar |
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November 19, 2018 |
Lipschitz Regularized Deep Neural Networks Converge and are Robust to Adversarial Perturbations
Adam Oberman (McGill University) |
Data Science Seminar |
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November 16, 2018 |
Lecture
Raye Sosseh (Seagate Technology) |
Industrial Problems Seminar |
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November 12, 2018 |
Lecture
Rebecca Willett (University of Chicago) |
Data Science Seminar |
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November 05, 2018 |
Lecture
Matthew Jacobs (University of California, Los Angeles) |
Data Science Seminar |
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November 02, 2018 |
Lecture
Joao Montero (Medtronic) |
Industrial Problems Seminar |
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October 29, 2018 |
Lecture
Pratik Chaudhari (University of California, Los Angeles) |
Data Science Seminar |
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October 26, 2018 |
Generalization and regularization in deep learning for nonlinear inverse problems
Maarten De Hoop (Rice University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 26, 2018 |
Primal-dual algorithms and their applications
Ming Yan (Michigan State University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 26, 2018 |
Addressing spatial uncertainty during remote sensing data analysis
Alina Zare (University of Florida) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 25, 2018 |
On the Use of Gaussian Process Models for Problems in CubeSat Data Interpolation
Eric Miller (Tufts University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 25, 2018 |
Matched-pair machine learning for hyperspectral target detection
Amanda Ziemann (Los Alamos National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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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) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 25, 2018 |
Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models
Velimir Vesselinov (Los Alamos National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 25, 2018 |
Mapping low-fidelity physics to high-fidelity physics with Deep Learning
Felix Herrmann (Georgia Institute of Technology) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 25, 2018 |
Regularization and Compression via Tensor Dictionaries
Misha Kilmer (Tufts University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 24, 2018 |
Machine Learning for Background Estimation in Multispectral Imagery
James Theiler (Los Alamos National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 24, 2018 |
Harmonization and Fusion of Global Scale Data
Nathan Longbotham (Descartes Labs, Inc.) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 24, 2018 |
GEO-AI - the birth of a new discipline
Eldad Haber (University of British Columbia) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 24, 2018 |
Space-borne SAR interferometry: Three Decades of Innovation and Problem Solving
Manoochehr Shirzaei (Arizona State University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 24, 2018 |
Learning generative models of monostatic and bistatic synthetic aperture radar imagery
Emre Ertin (The Ohio State University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 24, 2018 |
Indomitable segmentation and pooling: A new perspective on clairvoyant fusion
Alan Schaum (Naval Research Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 23, 2018 |
Machine Learning in Imaging and Inverse Problems: Where is it Going?
Charles Bouman (Purdue University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 23, 2018 |
On the effectiveness of joint inversion
Jodi Mead (Boise State University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 23, 2018 |
Multiscale methods for neural image processing
Tom Goldstein (University of Maryland) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 23, 2018 |
Information-theoretic approaches for multiscale simulations and data assimilation
Francesca Boso (Stanford University) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 23, 2018 |
Machine learning in pre- and post-imaging seismic data with different roles of wave physics
Weichang Li (Aramco Services Company) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 23, 2018 |
Machine Learning Applied to Discern Fault Characteristics
Paul Johnson (Los Alamos National Laboratory) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 22, 2018 |
Inverse methods for estimating fracture transmissibilities in porous media
Clint Dawson (The University of Texas at Austin) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 22, 2018 |
Geometric separation and applications to hyperspectral image analysis
Demetrio Labate (University of Houston) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 22, 2018 |
Hierarchical deep generative networks for Bayesian inverse problems
Pengchuan Zhang (Microsoft Research) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 22, 2018 |
Large Sample Asymptotics of Graph-based Methods in Machine Learning: Mathematical Analysis and Implications
Nicolas Garcia-Trillos (University of Wisconsin, Madison) |
Data Science Seminar |
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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) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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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) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 22, 2018 |
New Techniques in Optimization and Their Applications to Deep Learning and Related Inverse Problems
Stanley Osher (University of California, Los Angeles) |
Recent Advances in Machine Learning and Computational Methods for Geoscience |
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October 15, 2018 |
Lecture
Raj Nadakuditi (University of Michigan) |
Data Science Seminar |
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October 12, 2018 |
Lecture
Jennifer Schumacher (3M) |
Industrial Problems Seminar |
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October 08, 2018 |
A PDE Approach to a Prediction Problem Involving Randomized Strategies
Nadejda Drenska (University of Minnesota, Twin Cities) |
Data Science Seminar |
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October 05, 2018 |
Sample-Based Optimal Pricing
Omar Besbes (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 05, 2018 |
Lecture
Krishnamurthy Iyer (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 05, 2018 |
Where to find the next passenger on e-hailing platform? - A reinforcement learning approach
Sharon Di (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 05, 2018 |
Lecture
Vivek Farias (Massachusetts Institute of Technology) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 04, 2018 |
Dynamic Assortment Planning under Various Discrete Choice Models
Xi Chen (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 04, 2018 |
Closing the Gap: A Learning Algorithm for the Lost-Sales Inventory System with Lead Times
Cong Shi (University of Michigan) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 04, 2018 |
Distributionally Robust Linear and Discrete Optimization with Marginals
Karthik Natarajan (Singapore University of Technology and Design) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 04, 2018 |
Joint pricing and inventory control models with long lead times
Xin Chen (University of Illinois at Urbana-Champaign) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 04, 2018 |
Smart Predict, then Optimize
Adam Elmachtoub (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 04, 2018 |
Approximation Algorithms for Network Revenue Management
Huseyin Topaloglu (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 04, 2018 |
Lecture
Philip Kaminsky (University of California, Berkeley) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 03, 2018 |
A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions
Srikanth Jagabathula (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 03, 2018 |
Online Assortment Optimization with Reusable Resources
Vineet Goyal (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 03, 2018 |
Interpretable Optimal Stopping
Velibor Misic (University of California, Los Angeles) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 03, 2018 |
Predicting with Proxies
Hamsa Bastani (Wharton School of the University of Pennsylvania) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 03, 2018 |
Auction Design for ROI-Constrained Buyers
Ilan Lobel (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 03, 2018 |
Lecture
David Shmoys (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 03, 2018 |
Procurement in the twenty first century: new approaches to old problems
Awi Federgruen (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 03, 2018 |
Lecture
Georgia Perakis (Massachusetts Institute of Technology) |
Forging a New Discipline: Data-driven Supply Chain Management |
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October 01, 2018 |
Lecture
Tyler Whitehouse (Gigantum) |
Data Science Seminar |
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September 28, 2018 |
If a tree falls in the woods and nobody hears, does it make a sound? (Or, making sure your code runs anywhere.)
Tyler Whitehouse (Gigantum) |
Industrial Problems Seminar |
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September 24, 2018 |
Genetics of mRNA and Protein Expression in Large Yeast Populations
Frank Albert (University of Minnesota, Twin Cities) |
Data Science Seminar |
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September 17, 2018 |
ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) |
Industrial Problems Seminar |
|
September 17, 2018 |
The Role of the Translation Distribution in Multi-reference Alignment
William Leeb (University of Minnesota, Twin Cities) |
Data Science Seminar |
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September 14, 2018 |
The Unfulfilled Fourth Industrial Revolution
Marcus Braun (DataRobot) |
Industrial Problems Seminar |
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September 14, 2018 |
ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) |
Industrial Problems Seminar |
|
September 13, 2018 |
ExxonMobil information sessions for Ph.D. students
Jeremy Bedard (ExxonMobil), Alison Cozard (ExxonMobil) |
Industrial Problems Seminar |
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August 15, 2018 |
Statistics for a Computational Topologist Part II
Brittany Terese Fasy (Montana State University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 15, 2018 |
Two-Parameter Persistence for Virtual Ligand Screening
Bryn Keller (Intel Corporation) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 15, 2018 |
Computation with Degree-Rips Bifiltrations
Roy Zhao (University of California, Berkeley) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 15, 2018 |
Software Tutorial
Michael Lesnick (Princeton University), Matthew Wright (St. Olaf College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 15, 2018 |
Multiparameter Interleavings
Magnus Botnan (Vrije Universiteit Amsterdam) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 14, 2018 |
Statistics for a Computational Topologist, Part I
Brittany Terese Fasy (Montana State University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 14, 2018 |
Computing Minimal Presentations of Bipersistence Modules in Cubic Time
Michael Lesnick (Princeton University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 14, 2018 |
Visualizing Two-parameter Persistence
Matthew Wright (St. Olaf College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 14, 2018 |
Quiver Representation Theory + Multiparameter Persistence
Magnus Botnan (Vrije Universiteit Amsterdam) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 14, 2018 |
Computation of Persistent Homology, Part II
Ulrich Bauer (Technical University of Munich) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 13, 2018 |
Morse Theory and Persistent Homology Computation
Gregory Henselman (University of Pennsylvania) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 13, 2018 |
An Introduction to Multi-D Persistent Homology
Michael Lesnick (Princeton University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 13, 2018 |
Computation of Persistent Homology, Part I
Ulrich Bauer (Technical University of Munich) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 13, 2018 |
Applications of Persistence
Lori Ziegelmeier (Macalester College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 13, 2018 |
Introduction to Persistent Homology
Matthew Wright (St. Olaf College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |
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August 10, 2018 |
Mathematics of Big Data & Machine Learning
Jeremy Kepner (Massachusetts Institute of Technology) |
Data Science Seminar |
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June 28, 2018 |
Mechanical Relaxation of Incommensurate 2D Heterostructures in Configuration Space
Mitchell Luskin (University of Minnesota, Twin Cities) |
Working Group on Multiscale Strategies |
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June 27, 2018 |
Stability and Convergence of the String Method
Brian Van Koten (University of Chicago) |
Working Group on Multiscale Strategies |
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June 27, 2018 |
Anomalous diffusion in two homogenization problems
Gautam Iyer (Carnegie Mellon University) |
Working Group on Multiscale Strategies |
|
June 26, 2018 |
A Survey of Recent Results on Mass Transport
Gideon Simpson (Drexel University) |
Working Group on Multiscale Strategies |
|
June 26, 2018 |
Model-Form Uncertainty Quantification for Probabilistic Graphical Models and Applications to Electronic-Structure-based Chemical Kinetics
Markos Katsoulakis (University of Massachusetts) |
Working Group on Multiscale Strategies |
|
June 25, 2018 |
Coarse-graining out of equilibrium: from particles to dissipative PDEs
Celia Reina (University of Pennsylvania) |
Working Group on Multiscale Strategies |
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June 25, 2018 |
Long time behaviour and phase transitions for the McKean-Vlasov equation
Grigorios Pavliotis (Imperial College London) |
Working Group on Multiscale Strategies |
|
June 22, 2018 |
Microstructure, wrinkling and origami in nematic elastomer sheets
Paul Plucinsky (University of Minnesota, Twin Cities) |
Working Group on Multiscale Strategies |
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June 21, 2018 |
Symmetry, deformations and the search for unprecedented materials from first principles
Amartya Banerjee (Lawrence Berkeley National Laboratory) |
Working Group on Multiscale Strategies |
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June 20, 2018 |
On fluctuations in particle systems and their scaling limits
Johannes Zimmer (University of Bath) |
Working Group on Multiscale Strategies |
|
June 20, 2018 |
A Hamilton-Jacobi theory for the hydrodynamic limit large deviation of nonlinear heat equation from stochastic Carleman particles
Jin Feng (University of Kansas) |
Working Group on Multiscale Strategies |
|
June 19, 2018 |
Mechanics using quantum mechanics
Phanish Suryanarayana (Georgia Institute of Technology) |
Working Group on Multiscale Strategies |
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June 18, 2018 |
Challenges and recent progress in large-scale electronic structure calculations
Vikram Gavini (University of Michigan) |
Working Group on Multiscale Strategies |
