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Publications
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Journals
- 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
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Conferences
- 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
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Journals
- Our ML-SCOPE Team