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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders ICLR 2025 PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems ICLR 2025 PhysAnimator: Physics-Guided Generative Cartoon Animation CVPR 2025 PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection AAAI 2025 PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement AAAI 2025 PhyS-EdiT: Physics-aware Semantic Image Editing with Text Description CVPR 2025 PhysGen3D: Crafting a Miniature Interactive World from a Single Image CVPR 2025 Physical-aware Neural Radiance Fields for Efficient Exposure Correction AAAI 2025 Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer ICCV 2025 Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks AAAI 2025 Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment CVPR 2025 Physics-aligned field reconstruction with diffusion bridge ICLR 2025 Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction IJCAI 2025 Physics Aware Neural Networks for Unsupervised Binding Energy Prediction ICML 2025 Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis IJCAI 2025 Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems L4DC 2025 PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? CVPR 2025 Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks AAAI 2025 Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science AAAI 2025 Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems ICLR 2025 Physics-Informed Deep Learning and Compressive Collocation for High-Dimensional Diffusion-Reaction Equations: Practical Existence Theory and Numerics JMLR 2025 Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification ICML 2025 Physics-Informed Diffusion Models ICLR 2025 Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN JMLR 2025 Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models ICML 2025