Key papers

• Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing (2026)
  Xinjie Zhang et al.
  14.30
• Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning (2026)
  Junyao Yang et al.
  11.77
• Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations (2026)
  Rui Wang et al.
  10.72
• CausalMix: Data Mixture as Causal Inference for Language Model Training (2026)
  Zinan Tang et al.
  10.60
• Valdi: Value Diffusion World Models (2026)
  Christopher Lindenberg et al.
  9.73
• ISO: An RLVR-Native Optimization Stack (2026)
  Hanqing Zhu et al.
  9.11
• H$^2$SD: Hybrid Hindsight Self-Distillation (2026)
  Qiye Cai et al.
  8.24
• A Controlled Study of Attention-Only Transformers (2026)
  Henry Ndubuaku et al.
  5.96
• Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems (2026)
  Ripon C. Sarker et al.
  5.49
• Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations (2026)
  Domenico Pomarico et al.
  5.49
• Lipschitzian SLLNs for random functions (2026)
  Lai Tian et al.
  5.49
• Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bridging Vocabulary Gaps (2026)
  Zhichao Geng et al.
  5.01
• Self-Organized Learning in Oscillatory Neural Networks with Memristive Signed Couplings (2026)
  Riley Acker et al.
  5.01
• Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction (2026)
  Yurui Zheng et al.
  5.01
• On the Role of Directionality in Structural Generalization (2026)
  Zichao Wei
  5.01
• Mixture of Probes: Learning from Privileged Modalities in Multimodal LLMs Through Probing (2026)
  Dominick Reilly et al.
  5.01
• FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space (2026)
  Michael Murray et al.
  5.01
• Quantum-Enhanced Synthetic Data Generation Using Quantum Circuit Born Machines for Imbalanced Tabular Learning (2026)
  Tanapol Nuatho et al.
  5.01
• GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency (2026)
  Haohui Huang et al.
  5.01
• Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics (2026)
  Hugo Cui
  5.01
• PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal Synthesis (2026)
  Ren Takahashi et al.
  5.01
• On the Role of Normalization in Binary Iterative Hard Thresholding for 1-bit Compressed Sensing (2026)
  Arya Mazumdar et al.
  5.01
• Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing (2026)
  Mohammad Ali Dadrast 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
• Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction (2026)
  Tianyang Huang et al.
  5.01
• Memory Merge DQN: Sensitivity Weighted Target Updates for Stable Value Learning (2026)
  Adrian Ly et al.
  5.01
• RELTA-SGLD: Relative-Growth Localized Taming for Nonconvex Stochastic-Gradient Langevin Learning (2026)
  Yiwei Zhou et al.
  5.01
• Online Optimization of Difference-of-Convex Compositions with Smooth Mappings (2026)
  Jingwei Ji et al.
  5.01
• End-to-End Differential Privacy in Training Deep Neural Network Classifiers (2026)
  Huaiyuan Rao et al.
  5.01
• Multi-Mask Diffusion Language Models for Few-Step Generation (2026)
  Sijin Chen et al.
  5.01
• HijackKV: New Threat in Position-Independent KV Cache Reuse (2026)
  Yichi Zhang et al.
  5.01
• PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks (2026)
  Farah Elnakhal et al.
  5.01
• Local Stability and Gaussian Smoothing of Quantized Neural Networks (2026)
  Sergey Salishev et al.
  5.01
• On Optimization Complexity of Second-Order Certified Unlearning (2026)
  Nikita Doikov et al.
  5.01
• Dynamical and Optimization Trade-offs of Levi--Civita Coordinates for Learned Close-Encounter Dynamics (2026)
  Abhishek Shankar
  5.01
• Decentralized Online Riemannian Optimization for Strongly Geodesically Convex Functions (2026)
  Zhanyuan Cai et al.
  5.01
• Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations (2026)
  Rostyslav Sipakov
  5.01
• SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling (2026)
  Alaina Kolli et al.
  4.39
• Computer vision-based neural networks for radioisotope identification in urban environments (2026)
  Masen Bachleda et al.
  4.39
• Multi-Head Recurrent Memory Agents (2026)
  Jiatong Li et al.
  4.39
• COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows (2026)
  Zongxia Li et al.
  4.39
• EHHN: An Event-driven Heterogeneous Hypergraph Network for Object-Centric Next Activity Prediction (2026)
  Jiaxing Wang et al.
  4.39
• EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning (2026)
  Ahin Lee et al.
  4.39
• Lynx: Progressive Speculative Quantization for accelerating KV Transfer in Long-Context Inference (2026)
  Wenchen Han et al.
  4.39
• Fast and Accurate Anomaly Detection in Time Series (2026)
  Emanuele Mele et al.
  4.39
• QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition (2026)
  Quoc Bao Phan et al.
  4.39
• Contextual Procurement Auctions with Bandit Learning (2026)
  Yiling Chen et al.
  4.39
• STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning (2026)
  Roy Segal et al.
  4.39
• Dual Attention Heads for Personalized Federated Learning in ECG Classification (2026)
  Kien Le et al.
  4.39
• Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery (2026)
  Chuyao Zhang et al.
  4.39
• Is Randomness Necessary for Adaptive Data Analysis? (2026)
  Edith Cohen et al.
  4.39
• ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening (2026)
  Shreyasvi Natraj et al.
  4.39
• Reward Transport: Property Control in Flow Matching via Noise-Space Alignment (2026)
  Kehan Guo et al.
  4.39
• Clean2FX: Label-conditioned modeling for clean-to-effect guitar audio transformations (2026)
  Oliverio Bombicci Pontelli et al.
  4.39
• SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions (2026)
  Elham Daneshmand et al.
  4.39
• Training, Reading, and Editing Legible Transformers (2026)
  Mark Oskin
  4.39
• Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing (2026)
  Ajay Narayanan Sridhar et al.
  4.39
• EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems (2026)
  Shuo Huai et al.
  4.39
• LionVote: Per-Layer Learning Rate Adaptation for Lion (2026)
  Kris Atallah (New York University et al.
  4.39
• Shortcut Trajectory Planning for Efficient Offline Reinforcement Learning (2026)
  Guanquan Wang et al.
  4.39