Graph-Based Methods for Reduced-Order Reservoir Simulation
Explore graph-based approaches for reduced-order reservoir simulation, comparing interwell methods like GPSNet with CGNet, which mimics 3D grid connections. Learn about their setup, training, and generalization capabilities.
Model Error in CT Reconstruction with Uncertain View Angles
Explore innovative methods for handling model errors in inverse problems, focusing on CT reconstruction with uncertain view angles and improving image quality through uncertainty quantification.
Privacy in the Land of Plenty
Explore privacy challenges in the era of big data and learn about innovative mathematical approaches to protect individual privacy while enabling data analysis.
Mathematical Frameworks for Signal and Image Analysis - Lecture 1
Explore mathematical frameworks for signal and image analysis, focusing on multiresolution analysis and wavelets, with renowned mathematician Ingrid Daubechies.
Learning from COVID-19 Data on Transmission, Health Outcomes, Interventions and Vaccination
Explore COVID-19 data analysis on transmission, outcomes, interventions, and vaccination with Harvard researcher Xihong Lin in this insightful lecture from the Joint Mathematics Meetings.
Fiscal Resiliency: Managing US Debt and Economic Growth
Explore innovative debt policies and economic strategies with top US economists, discussing automatic stabilizers, inflation, inequality, labor shortages, and long-term planning for a resilient American economy.
Conflict, Trust, and Polarization - Addressing Root Causes and Building Trust
Explore the roots of polarization, its impact on communities, and strategies for building trust in this thought-provoking discussion on conflict in the modern era.
Polar Deconvolution of Mixed Signals - IMAGINE Seminar Series
Explore signal demixing using polar deconvolution, a novel approach for separating mixed signals with high efficiency and stability, presented by Michael Friedlander from UBC.
When More Is Not Better: Overcoming America's Obsession with Economic Efficiency
Exploring how America's pursuit of economic efficiency drives inequality and fragility, offering insights for business leaders to restore balance and resilience in the capitalist system.
Reimagining Capitalism in a World on Fire - Book Talk with Rebecca Henderson
Explore how businesses can drive positive change and reshape capitalism for a sustainable future with Harvard professor Rebecca Henderson's insights and hopeful vision.
Capitalism at a Crossroads - Forging a Just Future in Uncertain Times
Pioneers discuss reshaping capitalism to address inequality, climate crisis, and political uncertainty, exploring new standards and norms to create more equitable markets and a just future.
Reinvigorating the American Dream - Restoring Economic Opportunity in America
Evaluates strategies to revive the middle class, restore economic mobility, and strengthen financial security in America through expert discussion and policy analysis.
Devil in the Haystack - Application Security Through Statistical Analysis and Machine Learning
Exploring statistical and machine learning techniques for in-app security at Salesforce. Focuses on adaptive, data-driven approaches for detecting and preventing attacks and abuses on the platform.
Kong API Gateway Integration with Okta OIDC Authentication
Integrate Kong API gateway with Okta OIDC for seamless authentication, eliminating the need for your application to manage OIDC flows directly.
GitBOM - Repurposing Git's Graph for Supply Chain Security and Transparency
Explore innovative use of Git's graph structure for enhancing software supply chain security and transparency, offering insights into modern cybersecurity practices.
Norwegian Regional Stochastic Model of COVID-19 Epidemics
Explore Norway's stochastic SEIR model for COVID-19, including data collection, mobility tracking, and decision-making processes in public health management.
Turnpike Theory for Mean-Field Games - Connecting Stationary and Dynamic Solutions
Explores turnpike theory in mean-field games, connecting stationary and dynamic solutions. Part of a workshop on MFG applications in energy and environmental optimization.
Spatial Causal Inference and Neighborhood Effects
Explore spatial causal inference, interference problems from social interactions, and neighborhood effects in multilevel analyses. Examine agent-based models to question area-level effects and their causal interpretations.
Frank Knight, the Economics of Uncertainty, and 21st Century Finance
Explore Frank Knight's influential work on risk and uncertainty in economics, its impact on probability theory, and its relevance to modern finance and economic challenges.
A Full Classification of Finite Adversarial Partial Monitoring - Tor Lattimore
Explore finite adversarial partial monitoring, its classification, and implications for multi-armed bandit problems and full-information games. Learn about regret dependence on game structure.
Graph Driven DevSecOps in Practice
Explore graph-driven DevSecOps implementation strategies, enhancing security integration in cloud-native development pipelines for improved efficiency and risk mitigation.