Key papers

• InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences (2025)
  Hongkai Zheng et al.
  10.21
• ISO: An RLVR-Native Optimization Stack (2026)
  Hanqing Zhu et al.
  8.86
• H$^2$SD: Hybrid Hindsight Self-Distillation (2026)
  Qiye Cai et al.
  8.57
• Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions (2024)
  Jangseop Park and Namwoo Kang
  7.77
• Kinetic Langevin Diffusion for Crystalline Materials Generation (2025)
  Fran\c{c}ois Cornet et al.
  7.06
• Generative Unfolding with Distribution Mapping (2024)
  Anja Butter et al.
  7.02
• AbBiBench: A Benchmark for Antibody Binding Affinity Maturation and Design (2025)
  Xinyan Zhao et al.
  6.80
• A brief review of the Deep BSDE method for solving high-dimensional partial differential equations (2025)
  Jiequn Han et al.
  6.53
• Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology (2024)
  Oren Kraus et al.
  6.08
• Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees (2025)
  Meshi Bashari et al.
  5.93
• OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers (2026)
  Donghyun Lee et al.
  5.87
• Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data (2025)
  Ehsan Farahbakhsh et al.
  5.84
• Inferring Higher-Order Couplings with Neural Networks (2025)
  Aur\'elien Decelle et al.
  5.79
• Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting (2025)
  Yingtao Luo et al.
  5.70
• PEAR: Equal Area Weather Forecasting on the Sphere (2025)
  Hampus Linander et al.
  5.70
• Constructing Extreme Heatwave Storylines with Differentiable Climate Models (2025)
  Tim Whittaker and Alejandro Di Luca
  5.40
• Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement (2025)
  Jonas A. Actor et al.
  5.35
• DualMS: Implicit Dual-Channel Minimal Surface Optimization for Heat Exchanger Design (2025)
  Weizheng Zhang et al.
  5.29
• IgCraft: A versatile sequence generation framework for antibody discovery and engineering (2025)
  Matthew Greenig et al.
  5.24
• CrystalDiT: A Diffusion Transformer for Crystal Generation (2025)
  Xiaohan Yi et al.
  5.10
• Autorelevance function and other feature relevance measures for univariate time series (2026)
  Julian Cardenas et al.
  5.01
• EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning (2026)
  Przemys{\l}aw Rola
  5.01
• Measuring Reward-Seeking via Contrastive Belief Updates (2026)
  Axel H{\o}jmark et al.
  5.01
• Zero-shot protein stability prediction by inverse folding models: a free energy interpretation (2025)
  Jes Frellsen et al.
  4.98
• CellCLIP -- Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning (2025)
  Mingyu Lu et al.
  4.98
• Multi-Level Monte Carlo Training of Neural Operators (2025)
  James Rowbottom et al.
  4.93
• GeneMamba: An Efficient and Effective Foundation Model on Single Cell Data (2025)
  Cong Qi et al.
  4.87
• PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images (2023)
  Anis Bourou et al.
  4.85
• CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data (2025)
  Jakub Malinowski et al.
  4.82
• Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization (2022)
  Ngan Nguyen et al.
  4.52
• Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey (2025)
  Payam Zohari and Mostafa Haghir Chehreghani
  4.47
• Revisiting Chain-of-Thought Reasoning under Limited Supervision: Semi-supervised Chain-of-Thought Learning (2026)
  Hongyang He et al.
  4.39
• Wind-Aware Reinforcement Learning Control of a Small Quadrotor Using Learned Onboard Wind Estimation in Simulated Atmospheric Turbulence (2026)
  Abdullah Al Tasim et al.
  4.39
• Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness (2026)
  Aria Masoomi et al.
  4.39
• Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space (2026)
  Long Minh Bui et al.
  4.39
• A Mathematical Introduction to Diffusion Models (2026)
  Jianfeng Lu
  4.39
• Decision-Focused Scenario Generation and Selection for Efficient and Robust Grid Dispatch (2026)
  Yangze Zhou et al.
  4.39
• Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift (2026)
  Robin Holzinger (Department of Electrical Engineering and Computer Sciences et al.
  4.39
• Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems (2026)
  Alexander Apartsin et al.
  4.39
• x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability (2026)
  Xin Peng et al.
  4.39
• Spectral Analysis of Dueling Q-Learning (2026)
  Donghwan Lee
  4.39
• Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles (2026)
  Matthias Wei{\ss} et al.
  4.39
• Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis (2026)
  Haksoo Lim et al.
  4.39
• From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision Theory (2026)
  Manli Yan et al.
  4.39
• Institutional Equity Holdings Prediction Using Node Affinities of Dynamic Graphs (2026)
  Emad Izadifar et al.
  4.39
• OpenMHC: Accelerating the Science of Wearable Foundation Models (2026)
  Narayan Schuetz et al.
  4.39
• Decoder-Preserving Sparse Autoencoders: Which Readouts Survive Sparse Compression? (2026)
  Aniket Deshpande
  4.39
• Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows (2026)
  Jinyuan Deng 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
• Beyond Output-Space Calibration: Spectral Evidence Bundling for Selective Reliability Estimation in Time-Series Classification (2026)
  Filippo Cenacchi 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
• Towards Principled Continual Anomaly Detection: A Systematic Framework and Benchmark Scenarios (2026)
  Kamil Faber 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
• Fretiq: Browser-Native Electric Guitar String Classification via Engineered Spectral Features and Held-Out Free-Play Evaluation (2026)
  Aadi Garg
  4.39
• Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization (2026)
  Zhen Huang et al.
  4.39
• Agentic Calibration of Grey-Box Simulation Models: An LLM-Driven Alternative (2026)
  David G\'omez-Guill\'en et al.
  4.39
• Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls (2026)
  Henrik Lange et al.
  4.39
• Interactive Training 2: Auditable Control Plane for Live Model Training (2026)
  Wentao Zhang et al.
  4.39
• EmoEUS: Uncertainty Supervision for Multimodal Emotion Recognition in Conversation (2026)
  Zilong Huang et al.
  4.39