Skip to main content
1 - 100 of 53555 results
Jacob Fisher speeches, 1939 (Box 1, Folder 8)
Best Practices A Data Scientist Should Know
Chersu and Ka Vang
Creating Value in PE Using Advanced Analytics
Decomposing Low-Rank Symmetric Tensors
Emilee Xayanourom
Ernesto Torres
Graph Clustering Dynamics: From Spectral to Mean Shift
How Well Can We Generalize Nonlinear Learning Models in High Dimensions??
Integrative Discriminant Analysis Methods for Multi-view Data
Intelligent Randomized Algorithms for the Low CP-Rank Tensor Approximation Problem
Interview with Margaret Deirdre O'Hartigan
Lillian Gamm
Luu Nhat Tam Ngyuen
Method of Moments: From Sample Complexity to Efficient Implicit Computations
On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems
Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures
Sarah Reyes
Stability and Generalization in Graph Convolutional Neural Networks
Towards a Better Evaluation of Football Players
Using Artificial Intelligence to Model and Support the Management of Multimorbid Patients
Yeshi Gongpatsang
Yubin Sun
Adapting the Metropolis Algorithm
An Optimal Transport Perspective on Uncertainty Propagation
Being Smart and Dumb: Building the Sports Analytics Industry
Betula Ali
Bridget Feeney
Christopher Chavez
Coding and Generative Design for 3D Printing
Coordinate Methods for Solving Eigenvalue Problems in High Dimensions
Curling in face masks during the COVID-19 pandemic
Cyber Security: A New Front for Computational Science and Engineering
Damanta Basnet
Daniel Castellon
Data depths meet Hamilton-Jacobi equations
Data Science at The New York Times
Data Scientists under attack!! Let's help them together
David Peal
Deep Networks and the Multiple Manifold Problem
Discovering Genetic Networks Using Compressive Sensing
Elena Hernandez
Finding Effective Spreaders for Fast Communication in Small and Large Networks
From Perception to Understanding: The Third Wave of AI
Handling model uncertainties via informative Goodness-of-Fit
Henry Chacon Arevalo
Interview with Adrian Lowe
Interview with Andy Marra
Interview with Beau Larsen
Interview with Bran Fenner
Interview with Canyon Carballosa
Interview with Debra DeBruin
Interview with Devi Peacock
Interview with Dominique Morgan
Interview with Dr. Andrew D. Badley
Interview with Dr. Marci Bowers
Interview with Dr. Nathan T. Chomilo
Interview with Dr. Rhys Preston
Interview with Emerson Steiner Hayward
Interview with Hailey Ockinga
Interview with Harper Jean Tobin
Interview with Jack Martin and Nicholas Henderson
Interview with Jacqueline Ann Dionne
Interview with Jacsen Callanan
Interview with Jenna Rapues
Interview with Jonathan Hanft
Interview with Kathleen Clark
Interview with Katie Burgess, Parts 1 and 2
Interview with Kelly V. Robinson
Interview with Kristen Ehresmann
Interview with Kristie Rathmanner
Interview with Mary C. Turner
Interview with Masen Davis
Interview with Nico Amador
Interview with Shannon TL Kearns
Interview with Shawn Demmons
Interview with Stephanie Luz Hernandez
John and Martha Nygaard
Law - Math = Injustice: A Story of Conflict
Learning the Manifold of Molecular Structures in Cryo-EM
Licensed to Analyze? An In-Depth Look at the Data Science Career: Defining Roles, Assessing Skills
Liz Fierst
Long-term Time Series Forecasting and Data Generated by Complex Systems
Machine Learning Techniques for High-Dimensional Optimal Transport
Measuring the Happiness, Health, & Stories of Society through the Sociotechnical Dynamics of Social Media and Fiction
Nils Langeland Helgeson
Non-Parametric Estimation of Manifolds from Noisy Data
Order in Disorder: Modeling the Crumpling Dynamics of Thin Sheets
Organizational Collaboration with Assisted Learning
PDE-inspired Methods for Graph-based Semi-supervised Learning
Polynomial Time Guarantees for the Burer-Monteiro Method
Predicting Tomorrow: Industrial Forecasting at Scale
Quantile-based Iterative Methods for Corrupted Systems of Linear Equations
Quantum Compiler for Classical Dynamical Systems
Research and Opportunities in the Mathematical Sciences at Oak Ridge National Laboratory
Robbie Aparicio
Scalable and Sample-Efficient Active Learning for Graph-Based Classification
The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants
The Rise of the Vector Database
The Scattering Transform for Texture Synthesis and Molecular Generation