Expected Utility Regret Rule: Minimax and Bayes Optimal Portfolio Choice
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New papers, breakthroughs and academic AI research
Predicting Collision Cross Sections with GRACE: Geometric Residual Adduct Conditioning via Early-fusion
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Forecasting from Counterfactual Simulator Rollouts: A Sim2Real Evaluation
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Planning to Learn
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RINS: Residual-Image Neural Subspace Solvers for Large Sparse Linear Systems
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LESSER: Post-Training Data Selection with Output-Layer Gradients
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Generalizable single-cell perturbation response prediction using energy-guided flow matching
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Intent-Hiding Jailbreaks: An Information-Theoretic Framework for Compositional Attacks
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Joint Movement and Compression Ratio Design for Mobile Embodied AI Networks (MEAN)
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SoTa: Soft Tactile Skins for Dexterous Manipulation
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NEEDLEWORK: Offline Rewriting of Robot Data with Verified Local Stitches
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Energy Saving in 5G and Beyond Networks: A Quantum Reinforcement Learning Approach
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