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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Compositional Function Networks: A High-Performance Alternative to Deep Neural Networks with Built-in Interpretability | Fang Li | 2025 | arxiv 2507.21004 |
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| Delving Deeper Into Astromorphic Transformers | Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta | 2023 | arxiv 2312.10925 |
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| Task Vector Quantization for Memory-Efficient Model Merging | Youngeun Kim, Seunghwan Lee, Aecheon Jung | 2025 | arxiv 2503.06921 |
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| Transfer learning optimization based on evolutionary selective fine tuning | Jacinto Colan, Ana Davila, Yasuhisa Hasegawa | 2025 | arxiv 2508.15367 |
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| Tutorial on the Probabilistic Unification of Estimation Theory, Machine Learning, and Generative AI | Mohammed Elmusrati | 2025 | arxiv 2508.15719 |
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| Holographic Transformers for Complex-Valued Signal Processing: Integrating Phase Interference into Self-Attention | Enhao Huang, Zhiyu Zhang, Tianxiang Xu | 2025 | arxiv 2509.19331 |
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| Bayesian Modular and Multiscale Regression | Michele Peruzzi, David B. Dunson | 2018 | arxiv 1809.05935 |
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| Performance of Kriging Based Soft Classification on WiFS/IRS- 1D image using Ground Hyperspectral Signatures | Sumanta Kumar Das, Randhir Singh | 2019 | arxiv 1904.11258 |
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| Abnormal Signal Recognition with Time-Frequency Spectrogram: A Deep Learning Approach | Tingyan Kuang, Huichao Chen, Lu Han | 2022 | arxiv 2205.15001 |
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| Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G | Wonjun Kim, Yongjun Ahn, Jinhong Kim | 2022 | arxiv 2209.01724 |
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