Enhanced spatial clustering of single-molecule localizations with graph neural networks
nature.com·23h
🗺️UMAP
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·1d
🗂️AnnData
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A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
arxiv.org·3d
📊Empirical Bayes
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VISAT: Benchmarking Adversarial and Distribution Shift Robustness in Traffic Sign Recognition with Visual Attributes
arxiv.org·18h
📐Computational Geometry
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Spatial Sense: Unleashing Language Models on Location Data by Arvind Sundararajan
🔢Embeddings
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SpecAware: A Spectral-Content Aware Foundation Model for Unifying Multi-Sensor Learning in Hyperspectral Remote Sensing Mapping
arxiv.org·18h
🗺️Manifold Learning
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Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
arxiv.org·3d
🗺️Manifold Learning
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The Collapse of Centralized AI Discovery
📊Empirical Bayes
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[R] TempoPFN: Synthetic Pretraining of Linear RNNs for Zero-Shot Timeseries Forecasting
📐Matrix Factorization
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
🦠Whole cell model
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Bayesian continual learning and forgetting in neural networks
nature.com·4d
📊Empirical Bayes
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A two-tier optimization framework for urban integrated energy systems incorporating PSO-LSTM data-driven prediction and low-carbon demand response
sciencedirect.com·2d
🎪Convex Optimization
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AURA: A Reinforcement Learning Framework for AI-Driven Adaptive Conversational Surveys
arxiv.org·18h
🎪Convex Optimization
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