ICLR 2025 Past Other
ICLR 2025 Workshop on Machine Learning Multiscale Processes
ICLR 2025 Workshop MLMP
- Submission deadline
- Feb 26, 2025, 10:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (33)
Fetched from OpenReview (v2) on 2026-06-10.
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5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence
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A Joint Space-Time Encoder for Geographic Time-Series Data
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AdS-GNN - a Conformally Equivariant Graph Neural Network
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An Property-prompted Multi-scale Data Augmentation Approach for Crystal Representation
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Analysis of Neural ODE Performance in Long-term PDE Sequence Modeling
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Boosting Protein Graph Representations through Static-Dynamic Fusion
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Compute-Adaptive Surrogate Modeling of Partial Differential Equations
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Connecting Scales: Learning Dynamics for Efficient Ionic Conductivity Predictions with Graphs
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DoMiNO: Down-scaling Molecular Dynamics with Neural Graph Ordinary Differential Equations
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Exploring Thermodynamic Behavior of Spin Glasses with Machine Learning
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Flow Domain Parameterization and Training of Generalized Physics-Informed Neural Networks for Solving Navier-Stokes Equations
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FreeFlow: Latent Flow Matching for Free Energy Difference Estimation
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Generating $\pi$-Functional Molecules Using STGG+ with Active Learning
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Generative subgrid-scale modeling
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Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings
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Improved Sampling of Diffusion Models in Fluid Dynamics with Tweedie's Formula
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Leveraging LLM-based sentiment analysis for portfolio allocation with proximal policy optimization
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LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators
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Multi-Scale Modeling of Financial Systems Using Neural Differential Equations: Applications to High-Frequency Trading, Regime Switching, and Portfolio Optimization
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NeuralDEM: Real-time Simulation of Industrial Particulate Flows
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On Incorporating Scale into Graph Networks
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On Learning Quasi-Lagrangian Turbulence
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Physics-Transfer Learning: A Framework to Address the Accuracy-Performance Dilemma in Modeling Morphological Complexities in Brain Development
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PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
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Scalable and Efficient Multi-Weather Classification for Autonomous Driving with Coresets, Pruning, and Resolution Scaling
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Scaling Dynamic Mode Decomposition For Real Time Analysis Of Infant Movements
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SpectralFlowNet: Resolution-Invariant Continuous Neural Dynamics for Mesh-Based PDE Modeling
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Symbolic Regression for Learning Scale Transition Equations in Synthetic Fractal Surface Roughness
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Towards Interpretable Structure Prediction With Sparse Autoencoders
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Unifying Renormalization with Markov Categories
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UPT++: Latent Point Set Neural Operators for Modeling System State Transitions
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ViNE-GATr: scaling geometric algebra transformers with virtual nodes embeddings
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When is Bayesian Optimization Beneficial? A Critical Assessment of Optimization Strategies in High-Throughput Organic Photovoltaic Manufacturing