14 citations · 27 across the 10 of their papers we have counts for
4 papers · 1 filter
Disentangled State Space Representations
Đorđe Miladinović, Muhammad Waleed Gondal, Bernhard Schölkopf +2
Sequential data often originates from diverse domains across which statistical regularities and domain specifics exist. To specifically learn cross-domain sequence representations,…
Variational Federated Multi-Task Learning
Luca Corinzia, Ami Beuret, Joachim M. Buhmann
In federated learning, a central server coordinates the training of a single model on a massively distributed network of devices. This setting can be naturally extended to a multi-…
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
Patrick Schwab, Lorenz Linhardt, Stefan Bauer +2
Estimating what would be an individual's potential response to varying levels of exposure to a treatment is of high practical relevance for several important fields, such as health…
Exact Recovery for a Family of Community-Detection Generative Models
Luca Corinzia, Paolo Penna, Luca Mondada +1
Generative models for networks with communities have been studied extensively for being a fertile ground to establish information-theoretic and computational thresholds. In this pa…