Machine learning modularity
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New papers, breakthroughs and academic AI research
Fluids You Can Trust: Property-Preserving Operator Learning for Incompressible Flows
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Out-of-Air Computation: Enabling Structured Function Extraction from Wireless Superposition
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QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting
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Are Good Generators Good Decision-Makers? Policy Learning for General Interventions via Retargeted Counterfactual Generation
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Reinforcement Learning-Based Traffic Signal Control for IoT-Enabled Intersections
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Non-asymptotic Convergence of Stochastic Gradient Descent in Score-based Generative Models
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Generative Nested Sampling of Atomistic Thermodynamic Landscapes
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Shallow neural network approximation in mixed Sobolev spaces
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Continual Learning without Continual Training
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RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction
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HAN-Mamba: Hierarchical Selective State Space Networks for Multi-Scale Financial Volatility Forecasting
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