2 citations · 4 across the 5 of their papers we have counts for
5 papers
Layer Collaboration in the Forward-Forward Algorithm
Guy Lorberbom, Itai Gat, Yossi Adi +2
Backpropagation, which uses the chain rule, is the de-facto standard algorithm for optimizing neural networks nowadays. Recently, Hinton (2022) proposed the forward-forward algorit…
Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis
Raul Fernandez, David Haws, Guy Lorberbom +2
Sequence-to-Sequence Text-to-Speech architectures that directly generate low level acoustic features from phonetic sequences are known to produce natural and expressive speech when…
Latent Space Explanation by Intervention
Itai Gat, Guy Lorberbom, Idan Schwartz +1
The success of deep neural nets heavily relies on their ability to encode complex relations between their input and their output. While this property serves to fit the training dat…
Learning Generalized Gumbel-max Causal Mechanisms
Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison +2
To perform counterfactual reasoning in Structural Causal Models (SCMs), one needs to know the causal mechanisms, which provide factorizations of conditional distributions into nois…
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
Guy Lorberbom, Chris J. Maddison, Nicolas Heess +2
Direct optimization is an appealing framework that replaces integration with optimization of a random objective for approximating gradients in models with discrete random variables…