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Sparse graph learning from spatiotemporal time series
Outstanding achievements of graph neural networks for spatiotemporal time series analysis
show that relational constraints introduce an effective inductive bias into neural forecasting …
show that relational constraints introduce an effective inductive bias into neural forecasting …
Conditional computation in neural networks: Principles and research trends
S Scardapane, A Baiocchi, A Devoto… - Intelligenza …, 2024 - journals.sagepub.com
This article summarizes principles and ideas from the emerging area of applying conditional
computation methods to the design of neural networks. In particular, we focus on neural …
computation methods to the design of neural networks. In particular, we focus on neural …
Adaptive computation modules: Granular conditional computation for efficient inference
B Wójcik, A Devoto, K Pustelnik, P Minervini… - ar** a natural language utterance into a formal
representation that can be manipulated by a computer program. It is a major task in Natural …
representation that can be manipulated by a computer program. It is a major task in Natural …