Real-world experiences: Efficacy and tolerability of pirfenidone in clinical practice von Fang, Chuling, Huang, Hui, Guo, Jian, Ferianc, Martin, Xu, Zuojun

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Whole-exome sequencing identifies susceptibility genes and pathways for idiopathic pulmonary fibrosis in the Chinese population von Fang, Chuling, Huang, Hui, Feng, Yujia, Zhang, Qian, Wang, Na, Jing, Xiaoyan, Guo, Jian, Ferianc, Martin, Xu, Zuojun

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Online End-to-End Learning-Based Predictive Control for Microgrid Energy Management von Casagrande, Vittorio, Ferianc, Martin, Rodrigues, Miguel R. D., Boem, Francesca

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Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs von Liu, Shuanglong, Fan, Hongxiang, Ferianc, Martin, Niu, Xinyu, Shi, Huifeng, Luk, Wayne

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Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine von Abdalla, Youssef, Ferianc, Martin, Awad, Atheer, Kim, Jeesu, Elbadawi, Moe, Basit, Abdul W., Orlu, Mine, Rodrigues, Miguel

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Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations von Fan, Hongxiang, Ferianc, Martin, Que, Zhiqiang, Niu, Xinyu, Rodrigues, Miguel, Luk, Wayne

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Relation between sex hormones and leucocyte telomere length in men with idiopathic pulmonary fibrosis von Fang, Chuling, Huang, Hui, Zhang, Qian, Wang, Na, Jing, Xiaoyan, Guo, Jian, Ferianc, Martin, Xu, Zuojun

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FPGA-Based Acceleration for Bayesian Convolutional Neural Networks von Fan, Hongxiang, Ferianc, Martin, Que, Zhiqiang, Liu, Shuanglong, Niu, Xinyu, Rodrigues, Miguel R. D., Luk, Wayne

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Satellite-based InSAR Geodesy and Collocation with GNSS von Papco, Juraj, Bakon, Matus, Kubica, Lukas, Belicova, Gabika, Droscak, Branislav, Ferianc, Martin, Rovnak, Martin, Ruiz, Antonio M., Sousa, Joaquim J.

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Improving Performance Estimation for Design Space Exploration for Convolutional Neural Network Accelerators von Ferianc, Martin, Fan, Hongxiang, Manocha, Divyansh, Zhou, Hongyu, Liu, Shuanglong, Niu, Xinyu, Luk, Wayne

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YAMLE: Yet Another Machine Learning Environment von Ferianc, Martin, Rodrigues, Miguel

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ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation von Ferianc, Martin, Manocha, Divyansh, Fan, Hongxiang, Rodrigues, Miguel

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Simple Regularisation for Uncertainty-Aware Knowledge Distillation von Ferianc, Martin, Rodrigues, Miguel

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Large language models surpass human experts in predicting neuroscience results von Luo, Xiaoliang, Rechardt, Akilles, Sun, Guangzhi, Nejad, Kevin K, Yáñez, Felipe, Yilmaz, Bati, Lee, Kangjoo, Cohen, Alexandra O, Borghesani, Valentina, Pashkov, Anton, Marinazzo, Daniele, Nicholas, Jonathan, Salatiello, Alessandro, Sucholutsky, Ilia, Minervini, Pasquale, Razavi, Sepehr, Rocca, Roberta, Yusifov, Elkhan, Okalova, Tereza, Gu, Nianlong, Ferianc, Martin, Khona, Mikail, Patil, Kaustubh R, Lee, Pui-Shee, Mata, Rui, Myers, Nicholas E, Bizley, Jennifer K, Musslick, Sebastian, Bilgin, Isil Poyraz, Niso, Guiomar, Ales, Justin M, Gaebler, Michael, Ratan Murty, N Apurva, Loued-Khenissi, Leyla, Behler, Anna, Hall, Chloe M, Dafflon, Jessica, Bao, Sherry Dongqi, Love, Bradley C

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Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks von Ferianc, Martin, Fan, Hongxiang, Chu, Ringo S. W., Stano, Jakub, Luk, Wayne

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Large language models surpass human experts in predicting neuroscience results von Luo, Xiaoliang, Rechardt, Akilles, Sun, Guangzhi, Nejad, Kevin K, Yáñez, Felipe, Yilmaz, Bati, Lee, Kangjoo, Cohen, Alexandra O, Borghesani, Valentina, Pashkov, Anton, Marinazzo, Daniele, Nicholas, Jonathan, Salatiello, Alessandro, Sucholutsky, Ilia, Minervini, Pasquale, Razavi, Sepehr, Rocca, Roberta, Yusifov, Elkhan, Okalova, Tereza, Gu, Nianlong, Ferianc, Martin, Khona, Mikail, Patil, Kaustubh R, Lee, Pui-Shee, Mata, Rui, Myers, Nicholas E, Bizley, Jennifer K, Musslick, Sebastian, Bilgin, Isil Poyraz, Niso, Guiomar, Ales, Justin M, Gaebler, Michael, Ratan Murty, N. Apurva, Loued-Khenissi, Leyla, Behler, Anna, Hall, Chloe M, Dafflon, Jessica, Bao, Sherry Dongqi, Love, Bradley C

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Learning-based MPC with uncertainty estimation for resilient microgrid energy management⁎⁎This work has been supported by the UK Engineering and Physical Sciences Research Council... von Casagrande, Vittorio, Ferianc, Martin, Rodrigues, Miguel, Boem, Francesca

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Learning-based MPC with uncertainty estimation for resilient microgrid energy management von Casagrande, Vittorio, Ferianc, Martin, Rodrigues, Miguel, Boem, Francesca

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SAE: Single Architecture Ensemble Neural Networks von Ferianc, Martin, Fan, Hongxiang, Rodrigues, Miguel

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YAMLE: Yet Another Machine Learning Environment von Ferianc, Martin, Rodrigues, Miguel

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