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Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency., , , , , и . CoRR, (2024)STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction., , , , и . CoRR, (2023)Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e., , , , , , , , , и 14 other автор(ы). CoRR, (2023)Feature Programming for Multivariate Time Series Prediction., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 29009-29029. PMLR, (2023)STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction., , , , и . ICLR, OpenReview.net, (2024)Differentially Private Kernel Density Estimation., , , , и . CoRR, (2024)Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models., , , , и . CoRR, (2024)On Sparse Modern Hopfield Model., , , , , и . NeurIPS, (2023)Outlier-Efficient Hopfield Layers for Large Transformer-Based Models., , , , , , и . ICML, OpenReview.net, (2024)BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model., , , , , , и . ICML, OpenReview.net, (2024)