Suchergebnisse - Frossard, Pascal

Bures-Wasserstein Means of Graphs von Haasler, Isabel, Frossard, Pascal

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Causal Temporal Regime Structure Learning von Rahmani, Abdellah, Frossard, Pascal

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PUMA: margin-based data pruning von Maroto, Javier, Frossard, Pascal

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Graph-Dictionary Signal Model for Sparse Representations of Multivariate Data von Cappelletti, William, Frossard, Pascal

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Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises von Rahmani, Abdellah, Frossard, Pascal

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Deep End-to-End Survival Analysis with Temporal Consistency von Vieyra, Mariana Vargas, Frossard, Pascal

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A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation von Sadrizadeh, Sahar, Dolamic, Ljiljana, Frossard, Pascal

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Sparse Training of Discrete Diffusion Models for Graph Generation von Qin, Yiming, Vignac, Clement, Frossard, Pascal

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Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences von Dimitriadis, Nikolaos, Frossard, Pascal, Fleuret, Francois

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Task Addition and Weight Disentanglement in Closed-Vocabulary Models von Hazimeh, Adam, Favero, Alessandro, Frossard, Pascal

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Subgraph Matching via Partial Optimal Transport von Pan, Wen-Xin, Haasler, Isabel, Frossard, Pascal

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Generative Modelling of Structurally Constrained Graphs von Madeira, Manuel, Vignac, Clement, Thanou, Dorina, Frossard, Pascal

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Sequential Representation Learning via Static-Dynamic Conditional Disentanglement von Simon, Mathieu Cyrille, Frossard, Pascal, De Vleeschouwer, Christophe

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DeFoG: Discrete Flow Matching for Graph Generation von Qin, Yiming, Madeira, Manuel, Thanou, Dorina, Frossard, Pascal

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NMT-Obfuscator Attack: Ignore a sentence in translation with only one word von Sadrizadeh, Sahar, Descalzo, César, Dolamic, Ljiljana, Frossard, Pascal

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rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data von Xie, Yuhan, Cappelletti, William, Shoaran, Mahsa, Frossard, Pascal

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Backdoor Unlearning by Linear Task Decomposition von Abdelraheem, Amel, Favero, Alessandro, Bovet, Gerome, Frossard, Pascal

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Model soups need only one ingredient von Abdollahpoorrostam, Alireza, Dimitriadis, Nikolaos, Hazimeh, Adam, Frossard, Pascal

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PriPHiT: Privacy-Preserving Hierarchical Training of Deep Neural Networks von Sepehri, Yamin, Pad, Pedram, Frossard, Pascal, Dunbar, L. Andrea

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Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning von Giraldo, Juan Garcia, Dimitriadis, Nikolaos, Wang, Ke, Frossard, Pascal

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