MURI ML-SCOPE Plone Page
Advanced Search…
  • Log in
  • Home
  • Resources
    • ML Tutorials
    • Ocean Tutorials
    • ML + Ocean Bridging Resources
      • Bayesian Inference from Geophysics People
    • Papers/Books
      • Book: Topological Methods in Data Analysis and Visualization IV
    • Toolboxes
  • Meetings
    • Summer Tutorials 2020
    • Spring Meetings 2021
    • Summer Meetings 2023
    • Fall Meetings 2021
    • Spring Meetings 2024
    • Summer Meetings 2022
    • Fall Meetings 2022
    • Summer Meetings 2024
    • Kickoff Meeting 01 2020
      • MURI ML-SCOPE Agenda
    • Summer Meetings 2020
    • Summer Meetings 2021
    • Spring Meetings 2022
    • Spring Meetings 2025
    • Fall Meetings 2020
    • Fall Meetings 2023
  • Software and Data
  • Research
  • Miscellaneous
    • Community/Outreach
  • Users
  • Publications
    • Journals
      • Turbulence Closure with Small, Local Neural Networks: Forced Two-dimensional and β-plane Flows
      • The High-Frequency and Rare Events Barriers to Neural Closures of Atmospheric Dynamics
      • Theoretical Tools for Understanding the Climate Crisis from Hasselmann’s Programme and Beyond
      • Optimal Parameterizing Manifolds for Anticipating Tipping Points and Higher-Order Critical Transitions
      • Transitions in Stochastic Non-Equilibrium Systems: Efficient Reduction and Analysis
      • Deep Reinforcement Learning for Adaptive Mesh Refinement
      • Bayesian Learning of Coupled Biogeochemical-Physical Models
      • Generalized Neural Closure Models with Interpretability
      • Confidently Comparing Estimates with the c-value
      • Generic Generation of Noise-Driven Chaos in Stochastic Time Delay Systems: Bridging the Gap with High-End Simulations
      • Stochastic Rectification of Fast Oscillations on Slow Manifold Closures
      • Neural Closure Models for Dynamical Systems
      • Reduced-order Models for Coupled Dynamical Systems: Data-driven Methods and the Koopman Operator
    • Conferences
      • A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
      • On the Hardness of Learning Under Symmetries
      • Symmetries In-Context: Universal Self-Supervised Learning through Contextual World Models
      • Gaussian Processes at the Helm(holtz): A More Fluid Model for Ocean Currents
      • Evaluation of Deep Neural Operator Models toward Ocean Forecasting
      • The Exact Sample Complexity Gain from Invariances for Kernel Regression
      • On the Generalization of Learning Algorithms That Do Not Converge
      • Neural Closure Model for Dynamic Mode Decomposition Forecasts
      • Measuring the Robustness of Gaussian Processes to Kernel Choice
      • Measuring Generalization with Optimal Transport
      • CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
      • Generalization and Representational Limits of Graph Neural Networks
      • Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems
      • On Leveraging Pretrained GANs for Generation with Limited Data
    • Pre-prints
      • Surface Drifter Trajectory Prediction in the Gulf of Mexico Using Neural Networks
      • Convolutional Neural Networks for Sea Surface Data Assimilation in Operational Ocean Models: Test Case in the Gulf of Mexico
      • Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
      • Consistent Validation for Predictive Methods in Spatial Settings
      • Deep Spectral Computations in Linear and Nonlinear Diffusion Problems
  • Our ML-SCOPE Team
You are here:
  1. Home
Item type
New items since

Search results

RSS Subscribe to an always-updated RSS feed.

0 items matching your search terms.
Sort by relevance date (newest first) alphabetically

No results were found.

The Plone® Open Source CMS/WCM is © 2000-2025 by the Plone Foundation and friends. Distributed under the GNU GPL license.
Powered by Plone & Python
  • Site Map
  • Accessibility
  • Contact
  • MIT-Accessibility