Key papers

• Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing (2026)
  Xinjie Zhang et al.
  13.98
• Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning (2026)
  Junyao Yang et al.
  10.93
• ISO: An RLVR-Native Optimization Stack (2026)
  Hanqing Zhu et al.
  8.86
• NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs (2026)
  Jiarong Zhao et al.
  7.96
• Out-of-Distribution Generalization in Time Series: A Survey (2025)
  Xin Wu et al.
  7.35
• Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix Factorization (2022)
  Xinyu Chen et al.
  7.16
• Deep Learning for Multivariate Time Series Imputation: A Survey (2024)
  Jun Wang et al.
  7.10
• Position: The Inevitable Transition to Machine Learning in Quantum Chemistry (2026)
  Karen Sargsyan et al.
  5.89
• Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification (2025)
  Andreas Auer et al.
  5.63
• Real-time Air Pollution prediction model based on Spatiotemporal Big data (2018)
  Van-Duc Le et al.
  5.52
• Decentralized Stochastic Subgradient-type Methods with Communication Compression for Nonsmooth Nonconvex Optimization (2026)
  Siyuan Zhang et al.
  5.49
• Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures (2025)
  Yang Wang et al.
  5.35
• Embedding Inference Attack (2026)
  Cedric Fitiavana Raelijohn et al.
  5.01
• Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search (2026)
  Longfeng Wu et al.
  5.01
• Full Bayesian Reinforcement Learning via LF-IBIS (2026)
  Stefano Masini et al.
  5.01
• Controllable Sim Agents with Behavior Latents (2026)
  Juanwu Lu et al.
  5.01
• COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation (2026)
  Yashal Shakti Kanungo et al.
  5.01
• ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification (2026)
  Anna Jung et al.
  5.01
• A Practical Investigation of Training-free Relaxed Speculative Decoding (2026)
  Guoxuan Xia et al.
  5.01
• Disentangling Forced and Internal Climate Variability in Single Realizations using Dynamic Mode Decomposition with Control (2026)
  Nathan Mankovich et al.
  5.01
• Using binary silver labels in electronic health records-based computable phenotyping algorithms (2026)
  Shuhe Wang et al.
  5.01
• Recti-Q: Feature-Space Rectification for Out-of-Distribution-Robust Quantized Perception in Edge Robotics (2026)
  Hamidreza Yaghoubi Araghi et al.
  5.01
• Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics (2026)
  Vignesh Tirukkonda et al.
  5.01
• Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches (2026)
  Rick Wilming et al.
  5.01
• Measuring Reward-Seeking via Contrastive Belief Updates (2026)
  Axel H{\o}jmark et al.
  5.01
• The Tractability Landscape of Sampling with Inexact Scores (2026)
  Anming Gu et al.
  5.01
• Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks (2024)
  Joseph Arul Raj et al.
  4.52
• Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification (2026)
  Aizierjiang Aiersilan
  4.39
• Black-Box Inference of LLM Architectural Properties with Restrictive API Access (2026)
  Christopher Ellis et al.
  4.39
• Evolutionary Feature Engineering for Structured Data (2026)
  Ege Onur Taga et al.
  4.39
• A Mathematical Introduction to Diffusion Models (2026)
  Jianfeng Lu
  4.39
• Frequency Shift Physics-Informed Extreme Learning Machine for Solving High-Frequency Partial Differential Equations (2026)
  Xiong Xiong et al.
  4.39
• Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis (2026)
  Yisong Fu et al.
  4.39
• Fourier Neural Operators for Rayleigh-B\'enard Convection (2026)
  Chelsea Maria John et al.
  4.39
• Ask the Right Comparison:Bias-Aware Bayesian Active Top-$k$ Ranking with LLM Judges (2026)
  Jian Xu et al.
  4.39
• Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces (2026)
  Domiziano Doria et al.
  4.39
• Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization (2026)
  Jiantong Jiang et al.
  4.39
• Predicting Male Fertility Using Machine Learning: A Semen Parameters Based Analysis with the VISEM Dataset (2026)
  Shahnawaz Qureshi et al.
  4.39
• Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph (2026)
  Duen Horng Chau et al.
  4.39
• PhenoEmbed: Self-Supervised Multispectral UAV Time-Series Embeddings for Individual Tree Crown Phenology (2026)
  Taimur Khan
  4.39
• Operator-Aware Mixed-Precision Tolerance Calibration for Tensor Kernels (2026)
  Dipankar Sarkar
  4.39
• AEVAL: From Anecdotal to Deterministic Testing for Agentic Skill Workflows (2026)
  Tejas Singh Anand et al.
  4.39
• Chebyshev Manifold Adaptation (2026)
  Jiawen Li
  4.39
• Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows (2026)
  Jinyuan Deng et al.
  4.39
• Enhancing Rubric-based RL via Self-Distillation (2026)
  Mingxuan Xia et al.
  4.39
• Cross-Dialect Generalization Without Retraining: Benchmarks and Evaluation of Schema-Derived Constrained Decoding for MLIR (2026)
  Plawan Kumar Rath
  4.39
• MUX: Continuous Reasoning via Multiplexed Tokens (2026)
  Ayhan Suleymanzade et al.
  4.39
• FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration (2026)
  Filippo Cenacchi et al.
  4.39
• Beyond Output-Space Calibration: Spectral Evidence Bundling for Selective Reliability Estimation in Time-Series Classification (2026)
  Filippo Cenacchi et al.
  4.39
• Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models (2026)
  Chao Han et al.
  4.39
• FedCC: A Low-Resource Federated Adaptation of Foundation Models for Robust Corpus Callosum localization in Fetal Ultrasound Images (2026)
  Alessandro Di Matteo et al.
  4.39
• Compressing What Matters: Neuron Importance Meets Data-Aware Low Rank Approximation for Language Model Compression (2026)
  Athanasios Ntovas et al.
  4.39
• Edge-Efficient Transformer for End-to-End RF Spectrum Monitoring (2026)
  Zhifan Song et al.
  4.39
• Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority (2026)
  Philip-Roman Adam et al.
  4.39
• BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop (2026)
  Andrea Mattia Garavagno et al.
  4.39
• Multi-Timescale Latent-Action DRL for Joint Optimization in Edge-Cloud Networks (2026)
  Vo Phi Son et al.
  4.39
• Towards Principled Continual Anomaly Detection: A Systematic Framework and Benchmark Scenarios (2026)
  Kamil Faber et al.
  4.39
• SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions (2026)
  Hoang-Thang Ta
  4.39
• Dual-domain fused LSTM modeling for efficient time-dependent reliability analysis (2026)
  Yixin Zhang et al.
  4.39
• One Student, Many Teachers: Multi-Task On-Policy Distillation via Soft-Prompt Privileged Context (2026)
  Yingzi Ma et al.
  4.39