2026 College basketball: Best futures bets, predictions for long shots
nytimes.com·1d
🗺️Network Visualization
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I Processed the Internet on a Single Machine to Find Valuable Expired Domains
blog.mbrt.dev·7h·
Discuss: Hacker News
🔲Zarr
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Mastering Feature Selection Techniques with R
dev.to·12h·
Discuss: DEV
⛰️Gradient Descent
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Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
arxiv.org·15h
⛰️Gradient Descent
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A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitorin...
arxiv.org·15h
⛰️Gradient Descent
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Non-unitary Quantum Physical Unclonable Functions: Modelling, Simulation, and Evaluation under Open Quantum Dynamics
arxiv.org·15h
📄FASTQ
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Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
arxiv.org·15h
📊Empirical Bayes
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Algorithmic Assistance with Recommendation-Dependent Preferences
arxiv.org·15h
📊Empirical Bayes
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ParaScopes: What do Language Models Activations Encode About Future Text?
arxiv.org·15h
🔢Embeddings
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Quantum Machine Unlearning: Foundations, Mechanisms, and Taxonomy
arxiv.org·15h
📄FASTQ
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·15h
📐Computational Geometry
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Disciplined Biconvex Programming
arxiv.org·15h
🎪Convex Optimization
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Variational Data-Consistent Assimilation
arxiv.org·15h
📊Empirical Bayes
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Physics-Informed Neural Network Frameworks for the Analysis of Engineering and Biological Dynamical Systems Governed by Ordinary Differential Equations
arxiv.org·15h
⛰️Gradient Descent
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Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis
arxiv.org·15h
⛰️Gradient Descent
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
dev.to·1h·
Discuss: DEV
🧬Genomics
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Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.org·1d
⛰️Gradient Descent
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.org·15h
⛰️Gradient Descent
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Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
arxiv.org·15h
📊Empirical Bayes
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FOCUS: Efficient Keyframe Selection for Long Video Understanding
arxiv.org·1d
🗺️UMAP
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