cs.CE

Papers

• Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data (2019)
  Najib Ishaq et al.
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• Scalable $k$-d trees for distributed data (2022)
  Aritra Chakravorty et al.
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• Rapid GPU-Based Pangenome Graph Layout (2026)
  Jiajie Li et al.
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• Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction (2026)
  Sithumi Wickramasinghe et al.
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• FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates (2026)
  Zishuo Lan et al.
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• Generative modeling of granular flow on inclined planes using conditional flow matching (2026)
  Xuyang Li et al.
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• Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning (2026)
  Junpeng Ding et al.
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• Cross-attention-based bipartite graph neural network for coupled nodal and elemental field prediction in large-deformation sheet material forming (2026)
  Yingxue Zhao et al.
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• From Simulation to Discovery: AI Enabled Probabilistic Emulation of Mechanistic Crop Systems (2026)
  Mojdeh Saadati et al.
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• GazeBehavior Annotation Toolkit (GBAT): AI-powered toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction (2026)
  Iba Baig et al.
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• Learning Individual Dynamics from Sparse Cross-Sectional Snapshots (2026)
  Christian Lagemann et al.
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• Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach (2026)
  Qian Zhang et al.
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• Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models (2026)
  Weixian Waylon Li et al.
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• Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition (2026)
  Anuj Kumar et al.
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• DeepSeekMath Meets Order Book: Group-Aware Policy Optimization for High-Frequency Directional Trading (2026)
  Sayak Charabarty et al.
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• FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue (2026)
  Jo\~ao Alves Ribeiro et al.
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• Branched Signature Kernel Solvers for ODEs with rough Single-Trajectory signals (2026)
  Munawar Ali et al.
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• Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning (2026)
  Seunghwan Keum et al.
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• An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study (2026)
  Luca Saverio (MONHADE) et al.
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• FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting (2026)
  Kjersti Engan et al.
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