2 citations · 2 across the 3 of their papers we have counts for
3 papers
quant-ph2025★ 2 cited
Variational Inference for Quantum HyperNetworks
Luca Nepote, Alix Lhéritier, Nicolas Bondoux +2
Binary Neural Networks (BiNNs), which employ single-bit precision weights, have emerged as a promising solution to reduce memory usage and power consumption while maintaining compe…
stat.ML2021
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning
Alix Lhéritier, Nicolas Bondoux
Distributional reinforcement learning (DRL) extends the value-based approach by approximating the full distribution over future returns instead of the mean only, providing a richer…
cs.DC2021
From Research to Proof-of-Concept: Analysis of a Deployment of FPGAs on a Commercial Search Engine
Fabio Maschi, Gustavo Alonso, Anthony Hock-Koon +4
FPGAs are quickly becoming available in the cloud as a one more heterogeneous processing element complementing CPUs and GPUs. There are many reports in the literature showing the p…