An integrated machine-learning model to predict nucleosome architecture von Sala, Alba, Labrador, Mireia, Buitrago, Diana, De Jorge, Pau, Battistini, Federica, Heath, Isabelle Brun, Orozco, Modesto

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Nucleosome Dynamics: a new tool for the dynamic analysis of nucleosome positioning von Buitrago, Diana, Codó, Laia, Illa, Ricard, de Jorge, Pau, Battistini, Federica, Flores, Oscar, Bayarri, Genis, Royo, Romina, Del Pino, Marc, Heath, Simon, Hospital, Adam, Gelpí, Josep Lluís, Heath, Isabelle Brun, Orozco, Modesto

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An integrated machine-learning model to predict nucleosome architecture von Sala Huerta, Alba, Labrador Isern, Mireia, Buitrago, Diana, Jorge, Pau de, Battistini, Federica, Heath, Isabelle Brun, Orozco López, Modesto

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Nucleosome Dynamics: A new tool for the dynamic analysis of nucleosome positioning von Buitrago Ospina, Diana Camila, Codó Tarraubella, Laia, Illa Pujagut, Ricard, Jorge, Pau de, Flores Guri, Oscar, Battistini, Federica, Bayarri, Genís, Royo, Romina, Del Pino, Marc, Heath, Simon C, Hospital, Adam, Gelpí Buchaca, Josep Lluís, Brun Heath, Isabelle, Orozco López, Modesto

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Nucleosome Dynamics: a new tool for the dynamic analysis of nucleosome positioning von Buitrago, Diana, Codó, Laia, Illa, Ricard, Jorge, Pau de, Battistini, Federica, Flores, Oscar, Bayarri, Genis, Royo, Romina, Pino, Marc del, Heath, Simon, Hospital, Adam, Gelpí, Josep Lluís, Brun-Heath, Isabelle, Orozco, Modesto

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Reliability in Semantic Segmentation: Are We on the Right Track? von de Jorge, Pau, Volpi, Riccardo, Torr, Philip, Rogez, Gregory

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Placing Objects in Context via Inpainting for Out-of-distribution Segmentation von de Jorge, Pau, Volpi, Riccardo, Dokania, Puneet K, Torr, Philip H. S, Rogez, Gregory

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On the Road to Online Adaptation for Semantic Image Segmentation von Volpi, Riccardo, de Jorge, Pau, Larlus, Diane, Csurka, Gabriela

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A Survey on Transferability of Adversarial Examples across Deep Neural Networks von Gu, Jindong, Jia, Xiaojun, de Jorge, Pau, Yu, Wenqain, Liu, Xinwei, Ma, Avery, Xun, Yuan, Hu, Anjun, Khakzar, Ashkan, Li, Zhijiang, Cao, Xiaochun, Torr, Philip

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Make Some Noise: Reliable and Efficient Single-Step Adversarial Training von de Jorge, Pau, Bibi, Adel, Volpi, Riccardo, Sanyal, Amartya, Torr, Philip H. S, Rogez, Grégory, Dokania, Puneet K

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Reliability in Semantic Segmentation: Are We on the Right Track? von Pau de Jorge, Volpi, Riccardo, Torr, Philip, Rogez, Gregory

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Catastrophic overfitting can be induced with discriminative non-robust features von Ortiz-Jiménez, Guillermo, de Jorge, Pau, Sanyal, Amartya, Bibi, Adel, Dokania, Puneet K, Frossard, Pascal, Rogéz, Gregory, Torr, Philip H. S

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Placing Objects in Context via Inpainting for Out-of-distribution Segmentation von Pau de Jorge, Volpi, Riccardo, Dokania, Puneet K, Torr, Philip H S, Rogez, Gregory

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On the Road to Online Adaptation for Semantic Image Segmentation von Volpi, Riccardo, Pau de Jorge, Larlus, Diane, Csurka, Gabriela

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Progressive Skeletonization: Trimming more fat from a network at initialization von de Jorge, Pau, Sanyal, Amartya, Behl, Harkirat S, Torr, Philip H. S, Rogez, Gregory, Dokania, Puneet K

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AUTOMATIC OPTIMIZATION OF MACHINE LEARNING ALGORITHMS IN THE PRESENCE OF TARGET DATASETS von ROMANI, Marc, ARANDA, Pau de Jorge, TUR, Francisco Javier Marin, TORRAS, Albert Pujol

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AUTOMATIC OPTIMIZATION OF MACHINE LEARNING ALGORITHMS IN THE PRESENCE OF TARGET DATASETS von Romani, Marc, Aranda, Pau de Jorge, Torras, Albert Pujol, Tur, Francisco Javier Marin

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A Survey on Transferability of Adversarial Examples across Deep Neural Networks von Gu, Jindong, Jia, Xiaojun, Pau de Jorge, Yu, Wenqain, Liu, Xinwei, Ma, Avery, Yuan Xun, Hu, Anjun, Khakzar, Ashkan, Li, Zhijiang, Cao, Xiaochun, Torr, Philip

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AUTOMATIC OPTIMIZATION OF MACHINE LEARNING ALGORITHMS IN THE PRESENCE OF TARGET DATASETS von ROMANI, Marc, ARANDA, Pau de Jorge, TUR, Francisco Javier Marin, TORRAS, Albert Pujol

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Make Some Noise: Reliable and Efficient Single-Step Adversarial Training von Pau de Jorge, Bibi, Adel, Volpi, Riccardo, Sanyal, Amartya, Torr, Philip H S, Rogez, Grégory, Dokania, Puneet K

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