4 citations · 10 across the 5 of their papers we have counts for
10 papers
Bloom Origami Assays: Practical Group Testing
Louis Abraham, Gary Becigneul, Benjamin Coleman +3
We study the problem usually referred to as group testing in the context of COVID-19. Given n samples collected from patients, how should we select and test mixtures of samples to…
Crackovid: Optimizing Group Testing
Louis Abraham, Gary Bécigneul, Bernhard Schölkopf
We study the problem usually referred to as group testing in the context of COVID-19. Given samples taken from patients, how should we select mixtures of samples to be tested,…
Noise Contrastive Variational Autoencoders
Octavian-Eugen Ganea, Yashas Annadani, Gary Bécigneul
We take steps towards understanding the "posterior collapse (PC)" difficulty in variational autoencoders (VAEs),~i.e. a degenerate optimum in which the latent codes become independ…
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
Octavian-Eugen Ganea, Sylvain Gelly, Gary Bécigneul +1
The Softmax function on top of a final linear layer is the de facto method to output probability distributions in neural networks. In many applications such as language models or t…
Poincaré GloVe: Hyperbolic Word Embeddings
Alexandru Tifrea, Gary Bécigneul, Octavian-Eugen Ganea
Words are not created equal. In fact, they form an aristocratic graph with a latent hierarchical structure that the next generation of unsupervised learned word embeddings should r…
Riemannian Adaptive Optimization Methods
Gary Bécigneul, Octavian-Eugen Ganea
Several first order stochastic optimization methods commonly used in the Euclidean domain such as stochastic gradient descent (SGD), accelerated gradient descent or variance reduce…