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Showing 31–60 of 447
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Empirical Evaluation of Quantum Kernel Methods for Classification: A Comparative Study with Classical Kernels
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CausalXRL: Explainable Reinforcement Learning through Causal Graph Reasoning
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A Neural Network Approach towards Real-Time Knot Point Density Estimates for the Nonlinear Quadrotor
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Know When the Equation Is Wrong: Structural Uncertainty for LLM-Guided Symbolic Regression under Extrapolation
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When Does Jacobian Fine-Tuning Stabilize Neural PDE Emulators?
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TurnTurk-GPT: Text-Based Turn-Taking Prediction for Turkish
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AutoAnalysis: An automated, self-updating meta-analysis of human-AI collaboration
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ID2Pattern: Pretraining Generalizable Identity Behavior Patterns for Transaction Risk Foundation Models
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New Lower Bounds for Private PAC Learning
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When Does Test-Time Search Help World Action Models? An Empirical Audit of Candidate Selection and Simulator Integrity
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Modular data center provider DXN loses neocloud customer contractModular data center firm DXN loses neocloud customer contractModular data center provider DXN lost a neocloud customer after the customer cancelled the deal following a shift in its business. The company was still paid for work already completed.
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Prune Gradually, Adapt Sparsely: Efficient Pruning of Large Language Models at Extreme Sparsity
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When Is a Game a Markov Decision Process? Correspondences Between Game Theory and Reinforcement Learning
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WASABI: Wasserstein Sampling via Bridge Interpolants
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Shock Loading Accesses Reaction Pathways beyond Accelerated Thermolysis
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Aligning MLLMs with the Latent Structure of Human Cognition via Behavior-Derived Semantic Dimensions
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Optimizing Stochastic Policy Geometry for Few-Step Flow Reinforcement Learning
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Sponsored: The new age of contractual risk allocation in data center developmentSponsored: new age of contractual risk allocation in DC developmentA sponsored piece on how hyperscale and AI-driven demand is reshaping contractual liabilities across the data center development stack.
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Build Specialized Agents on a Stack You Control with NVIDIA NemoClawNVIDIA: build specialized agents on a stack you control with NemoClawAn NVIDIA developer blog post says an autonomous agent needs a model, a harness, and domain-specific tools. To deploy agents more securely, developers need a runtime that enforces policy, and the post presents NemoClaw as a way to build on a stack you control.
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Observable-Specific Validity Tests for Scientific AI: Controlled Approximations and Intervention Response
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Variance Reduction for Decentralized Stochastic Optimization with Multiple Local Updates
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Structure-Aware Skill Retrieval and Arbitration for Optimization Modeling
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Completeness and Cost of Retrieval Structures for Multi-Tool Requests in LLM Agents
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Statistical Foundations of Reinforcement Learning: A Non-Asymptotic Perspective
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ReX-GG: a LLM Ensemble Pipeline for Relation-extraction and Graph Generation
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Using Machine Learning to Measure Self-Efficacy Belief Through Learners' Interaction Traces in Technology-Enhanced Learning
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General-purpose foundation models surpass specialized ones on chemical property prediction tasks
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On k-nearest-neighbor regression in metric spaces
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A taxonomy of American data center opposition: Politics, misinformation, and conspiracy theoriesA taxonomy of US data center opposition: politics, misinformationAn article categorizing American data center opposition into politics, misinformation, and conspiracy theories, as the industry faces a tide of misinformation on social media.
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Designing infrastructure for enterprise AIDesigning infrastructure for enterprise AIA decision guide for matching enterprise AI workloads to suitable deployment and infrastructure models.