Thursday December 15 2022, Wolfram Pernice (University of Münster) Title: Computing beyond Moore's law with photonic hardware Abstract: Conventional computers are organized around a centralized processing architecture, which is well suited to running sequential, procedure-based programs. Such an architecture is inefficient for computational models that are distributed, massively parallel and adaptive, most notably those used for neural networks in artificial intelligence. In these application domains demand for high throughput, low latency and low energy consumption is driving the development of not only new architectures, but also new platforms for information processing. Photonic circuits are […]

Thursday 2nd of February 2022, 12h00-13h00 (Paris time), room Amphi Jaures (29 Rue d'Ulm). Remi Gribonval (INRIA) Title: Rapture of the deep: highs and lows of sparsity in a world of depths Abstract: Promoting sparse connections in neural networks is natural to control their complexity. Besides, given its thoroughly documented role in inverse problems and variable selection, sparsity also has the potential to give rise to learning mechanisms endowed with certain interpretability guarantees. Through an overview of recent explorations around this theme, I will compare and contrast classical sparse regularization for inverse problems […]