Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles von de Prado, Miguel, Rusci, Manuele, Capotondi, Alessandro, Donze, Romain, Benini, Luca, Pazos, Nuria

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CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices von Capotondi, Alessandro, Rusci, Manuele, Fariselli, Marco, Benini, Luca

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A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays von Ravaglia, Leonardo, Rusci, Manuele, Nadalini, Davide, Capotondi, Alessandro, Conti, Francesco, Benini, Luca

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Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs von Valente, Giacomo, Brilli, Gianluca, Mascio, Tania Di, Capotondi, Alessandro, Burgio, Paolo, Valente, Paolo, Marongiu, Andrea

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Runtime Support for Multiple Offload-Based Programming Models on Clustered Manycore Accelerators von Capotondi, Alessandro, Marongiu, Andrea, Benini, Luca

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Controlling NUMA effects in embedded manycore applications with lightweight nested parallelism support von Marongiu, Andrea, Capotondi, Alessandro, Benini, Luca

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Simplifying Many-Core-Based Heterogeneous SoC Programming With Offload Directives von Marongiu, Andrea, Capotondi, Alessandro, Tagliavini, Giuseppe, Benini, Luca

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A Request for Clarity over the End of Sequence Token in the Self-Critical Sequence Training von Hu, Jia Cheng, Cavicchioli, Roberto, Capotondi, Alessandro

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The Quest for Energy-Efficient I$ Design in Ultra-Low-Power Clustered Many-Cores von Loi, Igor, Capotondi, Alessandro, Rossi, Davide, Marongiu, Andrea, Benini, Luca

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Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge von Meloni, Paolo, Loi, Daniela, Deriu, Gianfranco, Carreras, Marco, Conti, Francesco, Capotondi, Alessandro, Rossi, Davide

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NEURA ghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs von Meloni, Paolo, Capotondi, Alessandro, Deriu, Gianfranco, Brian, Michele, Conti, Francesco, Rossi, Davide, Raffo, Luigi, Benini, Luca

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Bidirectional Awareness Induction in Autoregressive Seq2Seq Models von Hu, Jia Cheng, Cavicchioli, Roberto, Capotondi, Alessandro

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Shifted Window Fourier Transform And Retention For Image Captioning von Hu, Jia Cheng, Cavicchioli, Roberto, Capotondi, Alessandro

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Exploring the sequence length bottleneck in the Transformer for Image Captioning von Hu, Jia Cheng, Cavicchioli, Roberto, Capotondi, Alessandro

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Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning von Jia Cheng Hu, Cavicchioli, Roberto, Capotondi, Alessandro

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Heterogeneous Encoders Scaling In The Transformer For Neural Machine Translation von Hu, Jia Cheng, Cavicchioli, Roberto, Berardinelli, Giulia, Capotondi, Alessandro

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The Importance of Worst-Case Memory Contention Analysis for Heterogeneous SoCs von Carletti, Lorenzo, Brilli, Gianluca, Capotondi, Alessandro, Valente, Paolo, Marongiu, Andrea

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A request for clarity over the End of Sequence token in the Self-Critical Sequence Training von Jia Cheng Hu, Cavicchioli, Roberto, Capotondi, Alessandro

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Shifted Window Fourier Transform And Retention For Image Captioning von Jia Cheng Hu, Cavicchioli, Roberto, Capotondi, Alessandro

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Bidirectional Awareness Induction in Autoregressive Seq2Seq Models von Jia Cheng Hu, Cavicchioli, Roberto, Capotondi, Alessandro

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