arXiv cs.CE Computational Engineering, Finance, and Science
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Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Gollwitzer, Latawa, de Gruijl, Subramanian, de la Colina: Unlocking Noisy Real-World Corpora for Foundation Model Pre-Training via Quality-Aware Tokenization https://arxiv.org/abs/2602.06394 https://arxiv.org/pdf/2602.06394 https://arxiv.org/html/2602.06394
February 9, 2026 at 6:29 AM
Gollwitzer, Latawa, de Gruijl, Subramanian, de la Colina: Unlocking Noisy Real-World Corpora for Foundation Model Pre-Training via Quality-Aware Tokenization https://arxiv.org/abs/2602.06394 https://arxiv.org/pdf/2602.06394 https://arxiv.org/html/2602.06394
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Benoit, Ivas, Papierz, Sagingalieva, Melnikov, Iseli: A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing https://arxiv.org/abs/2602.06241 https://arxiv.org/pdf/2602.06241 https://arxiv.org/html/2602.06241
February 9, 2026 at 6:33 AM
Benoit, Ivas, Papierz, Sagingalieva, Melnikov, Iseli: A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing https://arxiv.org/abs/2602.06241 https://arxiv.org/pdf/2602.06241 https://arxiv.org/html/2602.06241
[2026-02-09 Mon (UTC), no new articles found for csCE Computational Engineering, Finance, and Science]
February 9, 2026 at 6:29 AM
[2026-02-09 Mon (UTC), no new articles found for csCE Computational Engineering, Finance, and Science]
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Zishuo Lan, Junjie Li, Lei Wang, Jincheng Wang: FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates https://arxiv.org/abs/2602.01941 https://arxiv.org/pdf/2602.01941 https://arxiv.org/html/2602.01941
February 3, 2026 at 6:43 AM
Zishuo Lan, Junjie Li, Lei Wang, Jincheng Wang: FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates https://arxiv.org/abs/2602.01941 https://arxiv.org/pdf/2602.01941 https://arxiv.org/html/2602.01941
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Yingrui Fan, Junbo Zhao: Harnessing Flexible Spatial and Temporal Data Center Workloads for Grid Regulation Services https://arxiv.org/abs/2602.01508 https://arxiv.org/pdf/2602.01508 https://arxiv.org/html/2602.01508
February 3, 2026 at 6:36 AM
Yingrui Fan, Junbo Zhao: Harnessing Flexible Spatial and Temporal Data Center Workloads for Grid Regulation Services https://arxiv.org/abs/2602.01508 https://arxiv.org/pdf/2602.01508 https://arxiv.org/html/2602.01508
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Leonardo Ferreira Guilhoto, Akshat Kaushal, Paris Perdikaris: Multimodal Scientific Learning Beyond Diffusions and Flows https://arxiv.org/abs/2602.00960 https://arxiv.org/pdf/2602.00960 https://arxiv.org/html/2602.00960
February 3, 2026 at 6:35 AM
Leonardo Ferreira Guilhoto, Akshat Kaushal, Paris Perdikaris: Multimodal Scientific Learning Beyond Diffusions and Flows https://arxiv.org/abs/2602.00960 https://arxiv.org/pdf/2602.00960 https://arxiv.org/html/2602.00960
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Marco Dessalvi, Massimo Bartoletti, Alberto Lluch-Lafuente: A Formal Approach to AMM Fee Mechanisms with Lean 4 https://arxiv.org/abs/2602.00101 https://arxiv.org/pdf/2602.00101 https://arxiv.org/html/2602.00101
February 3, 2026 at 6:51 AM
Marco Dessalvi, Massimo Bartoletti, Alberto Lluch-Lafuente: A Formal Approach to AMM Fee Mechanisms with Lean 4 https://arxiv.org/abs/2602.00101 https://arxiv.org/pdf/2602.00101 https://arxiv.org/html/2602.00101
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Walid Siala, Ahmed Khanfir, Mike Papadakis: Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction https://arxiv.org/abs/2602.00086 https://arxiv.org/pdf/2602.00086 https://arxiv.org/html/2602.00086
February 3, 2026 at 6:52 AM
Walid Siala, Ahmed Khanfir, Mike Papadakis: Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction https://arxiv.org/abs/2602.00086 https://arxiv.org/pdf/2602.00086 https://arxiv.org/html/2602.00086
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Yuanhong Wu, Wei Ye, Jingyan Xu, D. Frank Hsu: Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis https://arxiv.org/abs/2602.00037 https://arxiv.org/pdf/2602.00037 https://arxiv.org/html/2602.00037
February 3, 2026 at 6:52 AM
Yuanhong Wu, Wei Ye, Jingyan Xu, D. Frank Hsu: Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis https://arxiv.org/abs/2602.00037 https://arxiv.org/pdf/2602.00037 https://arxiv.org/html/2602.00037
Ronja Hotz, Calum Brown, Yongchao Zeng, Thomas Schmitt, Mark Rounsevell: Modelling Socio-Psychological Drivers of Land Management Intensity https://arxiv.org/abs/2602.02347 https://arxiv.org/pdf/2602.02347 https://arxiv.org/html/2602.02347
February 3, 2026 at 6:29 AM
Ronja Hotz, Calum Brown, Yongchao Zeng, Thomas Schmitt, Mark Rounsevell: Modelling Socio-Psychological Drivers of Land Management Intensity https://arxiv.org/abs/2602.02347 https://arxiv.org/pdf/2602.02347 https://arxiv.org/html/2602.02347
Samundra Karki, Adarsh Krishnamurthy, Baskar Ganapathysubramanian: Neural Geometry for PDEs: Regularity, Stability, and Convergence Guarantees https://arxiv.org/abs/2602.02271 https://arxiv.org/pdf/2602.02271 https://arxiv.org/html/2602.02271
February 3, 2026 at 6:29 AM
Samundra Karki, Adarsh Krishnamurthy, Baskar Ganapathysubramanian: Neural Geometry for PDEs: Regularity, Stability, and Convergence Guarantees https://arxiv.org/abs/2602.02271 https://arxiv.org/pdf/2602.02271 https://arxiv.org/html/2602.02271
ElSheikh, Wang, Wu, Wen, Dibaeinia, Zhang, Hu, Knudson, Babu, Sun, Khan, Liu: Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics https://arxiv.org/abs/2602.02093 https://arxiv.org/pdf/2602.02093 https://arxiv.org/html/2602.02093
February 3, 2026 at 6:29 AM
ElSheikh, Wang, Wu, Wen, Dibaeinia, Zhang, Hu, Knudson, Babu, Sun, Khan, Liu: Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics https://arxiv.org/abs/2602.02093 https://arxiv.org/pdf/2602.02093 https://arxiv.org/html/2602.02093
Zhi Zhang, Yan Liu, Zhejing Hu, Gong Chen, Jiannong Cao, Shenghua Zhong, Sean Fontaine, Changhong Jing, Shuqiang Wang: Mutual-Guided Expert Collaboration for Cross-Subject EEG Classification https://arxiv.org/abs/2602.01728 https://arxiv.org/pdf/2602.01728 https://arxiv.org/html/2602.01728
February 3, 2026 at 6:29 AM
Zhi Zhang, Yan Liu, Zhejing Hu, Gong Chen, Jiannong Cao, Shenghua Zhong, Sean Fontaine, Changhong Jing, Shuqiang Wang: Mutual-Guided Expert Collaboration for Cross-Subject EEG Classification https://arxiv.org/abs/2602.01728 https://arxiv.org/pdf/2602.01728 https://arxiv.org/html/2602.01728
Trang Thoi, Hung Tran, Tram Thoi, Huaiyang Zhong: The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms https://arxiv.org/abs/2602.01388 https://arxiv.org/pdf/2602.01388 https://arxiv.org/html/2602.01388
February 3, 2026 at 6:29 AM
Trang Thoi, Hung Tran, Tram Thoi, Huaiyang Zhong: The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms https://arxiv.org/abs/2602.01388 https://arxiv.org/pdf/2602.01388 https://arxiv.org/html/2602.01388
Zhiqi Li, Duowen Chen, Junwei Zhou, Sinan Wang, Yuchen Sun, Bo Zhu: An Impulse-formed Navier-Stokes Solver based on Long-range Particle Flow Maps https://arxiv.org/abs/2602.00499 https://arxiv.org/pdf/2602.00499 https://arxiv.org/html/2602.00499
February 3, 2026 at 6:29 AM
Zhiqi Li, Duowen Chen, Junwei Zhou, Sinan Wang, Yuchen Sun, Bo Zhu: An Impulse-formed Navier-Stokes Solver based on Long-range Particle Flow Maps https://arxiv.org/abs/2602.00499 https://arxiv.org/pdf/2602.00499 https://arxiv.org/html/2602.00499
[2026-02-03 Tue (UTC), 6 new articles found for csCE Computational Engineering, Finance, and Science]
February 3, 2026 at 6:29 AM
[2026-02-03 Tue (UTC), 6 new articles found for csCE Computational Engineering, Finance, and Science]
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban: SCALAR: Quantifying Structural Hallucination, Consistency, and Reasoning Gaps in Materials Foundation Models https://arxiv.org/abs/2601.22312 https://arxiv.org/pdf/2601.22312 https://arxiv.org/html/2601.22312
February 2, 2026 at 6:33 AM
Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban: SCALAR: Quantifying Structural Hallucination, Consistency, and Reasoning Gaps in Materials Foundation Models https://arxiv.org/abs/2601.22312 https://arxiv.org/pdf/2601.22312 https://arxiv.org/html/2601.22312
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Westra, Rodr\'iguez, van Stein, B\"ack, Raponi: Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study https://arxiv.org/abs/2601.22241 https://arxiv.org/pdf/2601.22241 https://arxiv.org/html/2601.22241
February 2, 2026 at 6:33 AM
Westra, Rodr\'iguez, van Stein, B\"ack, Raponi: Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study https://arxiv.org/abs/2601.22241 https://arxiv.org/pdf/2601.22241 https://arxiv.org/html/2601.22241
Milton Gomez, et al.: TCBench: A Benchmark for Tropical Cyclone Track and Intensity Forecasting at the Global Scale https://arxiv.org/abs/2601.23268 https://arxiv.org/pdf/2601.23268 https://arxiv.org/html/2601.23268
February 2, 2026 at 6:29 AM
Milton Gomez, et al.: TCBench: A Benchmark for Tropical Cyclone Track and Intensity Forecasting at the Global Scale https://arxiv.org/abs/2601.23268 https://arxiv.org/pdf/2601.23268 https://arxiv.org/html/2601.23268
Lorenzo Emer, Marco Lippi, Andrea Mina, Andrea Vandin: Large Language Models for Patent Classification: Strengths, Trade-offs, and the Long Tail Effect https://arxiv.org/abs/2601.23200 https://arxiv.org/pdf/2601.23200 https://arxiv.org/html/2601.23200
February 2, 2026 at 6:29 AM
Lorenzo Emer, Marco Lippi, Andrea Mina, Andrea Vandin: Large Language Models for Patent Classification: Strengths, Trade-offs, and the Long Tail Effect https://arxiv.org/abs/2601.23200 https://arxiv.org/pdf/2601.23200 https://arxiv.org/html/2601.23200
Mo Wang, Wenhao Ye, Junfeng Xia, Junxiang Zhang, Xuanye Pan, Minghao Xu, Haotian Deng, Hongkai Wen, Quanying Liu: Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model https://arxiv.org/abs/2601.23090 https://arxiv.org/pdf/2601.23090 https://arxiv.org/html/2601.23090
February 2, 2026 at 6:29 AM
Mo Wang, Wenhao Ye, Junfeng Xia, Junxiang Zhang, Xuanye Pan, Minghao Xu, Haotian Deng, Hongkai Wen, Quanying Liu: Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model https://arxiv.org/abs/2601.23090 https://arxiv.org/pdf/2601.23090 https://arxiv.org/html/2601.23090
Kastor, Rottmayer, Hundertmark, Gauger: Parameter conditioned interpretable U-Net surrogate model for data-driven predictions of convection-diffusion-reaction processes https://arxiv.org/abs/2601.22654 https://arxiv.org/pdf/2601.22654 https://arxiv.org/html/2601.22654
February 2, 2026 at 6:29 AM
Kastor, Rottmayer, Hundertmark, Gauger: Parameter conditioned interpretable U-Net surrogate model for data-driven predictions of convection-diffusion-reaction processes https://arxiv.org/abs/2601.22654 https://arxiv.org/pdf/2601.22654 https://arxiv.org/html/2601.22654
[2026-02-02 Mon (UTC), 4 new articles found for csCE Computational Engineering, Finance, and Science]
February 2, 2026 at 6:29 AM
[2026-02-02 Mon (UTC), 4 new articles found for csCE Computational Engineering, Finance, and Science]
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Adam, Chen, Laprade, Porwal, Laub, Reinertsen, Pekis, Brown: The Patient is not a Moving Document: A World Model Training Paradigm for Longitudinal EHR https://arxiv.org/abs/2601.22128 https://arxiv.org/pdf/2601.22128 https://arxiv.org/html/2601.22128
January 30, 2026 at 6:30 AM
Adam, Chen, Laprade, Porwal, Laub, Reinertsen, Pekis, Brown: The Patient is not a Moving Document: A World Model Training Paradigm for Longitudinal EHR https://arxiv.org/abs/2601.22128 https://arxiv.org/pdf/2601.22128 https://arxiv.org/html/2601.22128
Reposted by arXiv cs.CE Computational Engineering, Finance, and Science
Xingyue Zhang, Yuxuan Bao, Mars Liyao Gao, J. Nathan Kutz: SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework https://arxiv.org/abs/2601.21664 https://arxiv.org/pdf/2601.21664 https://arxiv.org/html/2601.21664
January 30, 2026 at 6:35 AM
Xingyue Zhang, Yuxuan Bao, Mars Liyao Gao, J. Nathan Kutz: SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework https://arxiv.org/abs/2601.21664 https://arxiv.org/pdf/2601.21664 https://arxiv.org/html/2601.21664