4 citations · 9 across the 6 of their papers we have counts for
3 papers · 1 filter
Evolutionary Variational Optimization of Generative Models
Jakob Drefs, Enrico Guiraud, Jörg Lücke
We combine two popular optimization approaches to derive learning algorithms for generative models: variational optimization and evolutionary algorithms. The combination is realize…
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
Enrico Guiraud, Jakob Drefs, Jörg Lücke
Discrete latent variables are considered important for real world data, which has motivated research on Variational Autoencoders (VAEs) with discrete latents. However, standard VAE…
Software Challenges For HL-LHC Data Analysis
ROOT Team, Kim Albertsson Brann, Guilherme Amadio +21
The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the centr…