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Algorithmic Trading Strategy Development and Optimisation
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FlashSampling: Fast and Memory-Efficient Exact Sampling
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Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
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Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes
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Interpretative Interfaces: Designing for AI-Mediated Reading Practices and the Knowledge Commons
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Evaluating Black-Box Vulnerabilities with Wasserstein-Constrained Data Perturbations
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Kriging via variably scaled kernels
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Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
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Electrodermal Activity as a Unimodal Signal for Aerobic Exercise Detection in Wearable Sensors
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Resilience Meets Autonomy: Governing Embodied AI in Critical Infrastructure
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PhasorFlow: A Python Library for Unit Circle Based Computing
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EvoIQA - Explaining Image Distortions with Evolved White-Box Logic
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AsgardBench -- Evaluating Visually Grounded Interactive Planning Under Minimal Feedback
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Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
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COGNAC at SemEval-2026 Task 5: LLM Ensembles for Human-Level Word Sense Plausibility Rating in Challenging Narratives
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The Internet of Physical AI Agents: Interoperability, Longevity, and the Cost of Getting It Wrong
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Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data
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Federated Learning for Privacy-Preserving Medical AI
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Agent-based imitation dynamics can yield efficiently compressed population-level vocabularies
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Game-Theory-Assisted Reinforcement Learning for Border Defense: Early Termination based on Analytical Solutions
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Prompt Engineering for Scale Development in Generative Psychometrics
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The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning
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Auto Researching, not hyperparameter tuning: Convergence Analysis of 10,000 Experiments
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Sparse but not Simpler: A Multi-Level Interpretability Analysis of Vision Transformers
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VIBEPASS: Can Vibe Coders Really Pass the Vibe Check?
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Machine Translation in the Wild: User Reaction to Xiaohongshu's Built-In Translation Feature
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Learning to Recall with Transformers Beyond Orthogonal Embeddings
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Generative Inverse Design with Abstention via Diagonal Flow Matching
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Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare
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Discovery of interaction and diffusion kernels in particle-to-mean-field multi-agent systems
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Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium
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Nodule-Aligned Latent Space Learning with LLM-Driven Multimodal Diffusion for Lung Nodule Progression Prediction
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Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies
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CTG-DB: An Ontology-Based Transformation of ClinicalTrials.gov to Enable Cross-Trial Drug Safety Analyses
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Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification
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Do Not Leave a Gap: Hallucination-Free Object Concealment in Vision-Language Models
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Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation
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Analytically tractable model of synaptic crowding explains emergent small-world structure and network dynamics
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Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us
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BANGLASOCIALBENCH: A Benchmark for Evaluating Sociopragmatic and Cultural Alignment of LLMs in Bangladeshi Social Interaction
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POLAR:A Per-User Association Test in Embedding Space
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Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents
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A Family of LLMs Liberated from Static Vocabularies
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MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
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ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
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GASP: Guided Asymmetric Self-Play For Coding LLMs
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Deriving Hyperparameter Scaling Laws via Modern Optimization Theory
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Optimizing Hospital Capacity During Pandemics: A Dual-Component Framework for Strategic Patient Relocation
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MoLoRA: Composable Specialization via Per-Token Adapter Routing
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A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Digital Pathology Images
