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Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.

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  1. A Deep Generative Model for Synthesizing Labeled Wireless Signals taaft Wireless signals with position-related labels are pivotal for both performance evaluation and model… 2026-09-04 published
  2. A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity taaft Missing data, measurement error, and population heterogeneity are pervasive challenges in analyzing… 2026-08-30 published
  3. A Differentiable Neural Surrogate for Photon Propagation in Neutrino Telescopes taaft Large-volume neutrino telescopes infer neutrino properties from Cherenkov light, but simulating the… 2026-09-04 published
  4. A Fairness Audit of the Duckworth-Lewis-Stern Method: Format-Specific and Gender-Differential Bias, with an Interpretable Calibration Layer for Cricket Target Revision taaft The Duckworth-Lewis-Stern (DLS) method has been the international standard for revising target scor… 2026-09-04 published
  5. A Feature-Major Codebook for Memory-Efficient Sparse-Binary Self-Organizing Maps: Scaling a MEDLINE Atlas to 1.05 Million Neurons on a Single Consumer GPU taaft Building a self-organising map at MEDLINE scale has been impractical: the best-matching-unit (BMU)… 2026-08-25 published
  6. A Few Pages of Markdown: Committed AI Configuration and Lower Quality Cost after Coding-Agent Adoption taaft Coding agents increase development velocity but also technical debt. Prior work reports only averag… 2026-08-26 published
  7. A Finite Sample Analysis for Quantile Temporal Difference Learning in Distributional Reinforcement Learning taaft Quantile temporal-difference learning (QTD) is an effective method for learning return distribution… 2026-08-27 published
  8. A Formal Limitation on Learning Human Language From Textual Corpora taaft Can a listener recover what a speaker means from the form of an utterance alone? We answer this que… 2026-08-28 published
  9. A Framework for Object-Centric Predictive Monitoring of Collaborative Processes taaft Predictive Process Monitoring (PPM) of collaborative, inter-organizational processes requires reaso… 2026-08-27 published
  10. A General Framework for Metropolis-Adjusted Dikin Walks: Dimension-Square Mixing on Polytopes and Log-Det Walks on Spectrahedra taaft We analyze exact-metric, Metropolis-adjusted Dikin walks by keeping the proposal determinant and re… 2026-08-26 published
  11. A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLoss taaft An image may be worth a thousand words, but most captioning models describe it in only a few. Moder… 2026-09-01 published
  12. A Hierarchical Sheaf Spectral Embedding Framework for Single-Cell RNA-seq Analysis taaft Single-cell RNA-seq data analysis typically requires representations that capture heterogeneous loc… 2026-03-27 published
  13. A Hierarchical Synergistic Deep Learning Framework Integrating Composition, Structure, and Ionic Transport for Solid-State Electrolyte Discovery taaft Inorganic solid-state electrolytes must combine high room-temperature ionic conductivity, a wide el… 2026-08-26 published
  14. A Hub of Short Rows Inflates Intrinsic Dimension Estimation of Token Embeddings taaft A token-embedding table holds a hub of short rows near its origin, and we show that this cluster bi… 2026-08-30 published
  15. A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment taaft The integration of artificial intelligence (AI), particularly large language models (LLMs), into ed… 2026-09-04 published
  16. A Hybrid Predictive Ensemble of Machine Learning and Deep Neural Networks for Early Cardiovascular Disease Risk Assessment taaft This study introduces an intelligent framework that integrates machine learning and deep neural net… 2026-09-04 published
  17. A hybrid quantum-classical neural network for learning to route taaft This work studies hybrid quantum-classical neural networks for learning routing heuristics. Specifi… 2026-08-31 published
  18. A Hybrid State-Space Approach for Census-Tract Population Estimation taaft Sequence models---the architecture family behind large language models and, increasingly, state-of-… 2026-08-30 published
  19. A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes taaft Fair representation learning with a continuous sensitive attribute $S$ requires a representation $Z… 2026-08-11 published
  20. A Judge Agent Closes the Reliability Gap in AI-Generated Scientific Simulation taaft Large language models can generate scientific simulation code, but the generated code silently fail… 2026-03-26 published
  21. A Judge Should Know What Changed:Construct Validity for LLM-as-a-Judge Evaluation taaft LLM-as-a-judge evaluation is usually assessed by agreement and robustness to surface perturbations,… 2026-08-25 published
  22. A Large Open Multi-Energy Corpus of Soil Compaction Tests, with Machine-Learning Baselines taaft Every engineered fill is specified by a maximum dry density and an optimum moisture content. Each d… 2026-09-03 published
  23. A Layer Importance Metric for Quantization Accounting for the Speed-Quality Trade-off in Autoregressive Models taaft Small language models (sLLMs) are nowadays hosted on devices with limited memory and computational… 2026-08-27 published
  24. A Layered Taxonomy for Chinese Learner Grammatical Error Annotation taaft Grammatical error annotation in Chinese learner writing requires labels that are both consistent an… 2026-09-02 published
  25. A Longitudinal Analysis of the CEC Single-Objective Competitions (2010-2024) and Implications for Variational Quantum Optimization taaft This paper provides a historical analysis of the IEEE CEC Single Objective Optimization competition… 2026-03-25 published
  26. A lower bound for stepsize-based acceleration of gradient descent taaft Recent work has shown that, for smooth convex optimization, plain gradient descent can be accelerat… 2026-08-11 published
  27. A Mathematical Framework for Transformer Circuits Anthropic This foundational work in mechanistic interpretability reverse-engineered small Transformers to ide… Anthropic
  28. A Mathematical Theory of Reusable Neural Bases for Network Compression taaft Memory constraints remain a critical bottleneck in the deployment of large-scale AI models. Paramet… 2026-09-01 published
  29. A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM taaft We describe a systematic approach for spawning and aggregating multi-class cryo-EM reconstruction j… 2026-08-26 published
  30. A Method for Layer Bit-Width Allocation in LLM Quantization via Performance Maximization Under a Quality-Degradation Constraint taaft This paper proposes a layer bit allocation method for Gemma-3-1B, formulating the problem as perfor… 2026-08-28 published
  31. A Multi-Modal AI Framework for Real-Time Queue Prediction, Management and Optimisation in Intelligent Border Control Systems taaft In the present work an efficient border control management procedure is proposed. Compared to opera… 2026-08-27 published
  32. A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction taaft Accurate online traffic prediction is essential for intelligent transportation systems, where forec… 2026-08-26 published
  33. A Network Science Perspective on Evaluating Deep Graph Generative Models taaft Traditional network models from network science, such as the Erdos-Renyi and configuration models,… 2026-09-01 published
  34. A New Look at AI's Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment Ramp Business This working paper studies how firm employment changes after companies adopt generative AI. The aut… Ramp Business
  35. A Novel Solution for Zero-Day Attack Detection in IDS using Self-Attention and Jensen-Shannon Divergence in WGAN-GP taaft The increasing sophistication of cyber threats, especially zero-day attacks, poses a significant ch… 2026-03-19 published
  36. A PAC-Bayesian approach to generalization for quantum models taaft Generalization is a central concept in machine learning theory, yet for quantum models, it is predo… 2026-03-24 published