77 citations · 732 across the 55 of their papers we have counts for
10 papers · 1 filter
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning
Ershad Banijamali, Mohsen Rohani, Elmira Amirloo +2
In autonomous driving (AD), accurately predicting changes in the environment can effectively improve safety and comfort. Due to complex interactions among traffic participants, how…
Newton-type Methods for Minimax Optimization
Guojun Zhang, Kaiwen Wu, Pascal Poupart +1
Differential games, in particular two-player sequential zero-sum games (a.k.a. minimax optimization), have been an important modeling tool in applied science and received renewed i…
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
Nabiha Asghar, Ivan Kobyzev, Jesse Hoey +2
State-of-the-art neural dialogue systems excel at syntactic and semantic modelling of language, but often have a hard time establishing emotional alignment with the human interacta…
A Positivstellensatz for Conditional SAGE Signomials
Allen Houze Wang, Priyank Jaini, Yaoliang Yu +1
Recently, the conditional SAGE certificate has been proposed as a sufficient condition for signomial positivity over a convex set. In this article, we show that the conditional SAG…
Optimality and Stability in Non-Convex Smooth Games
Guojun Zhang, Pascal Poupart, Yaoliang Yu
Convergence to a saddle point for convex-concave functions has been studied for decades, while recent years has seen a surge of interest in non-convex (zero-sum) smooth games, moti…
Batch norm with entropic regularization turns deterministic autoencoders into generative models
Amur Ghose, Abdullah Rashwan, Pascal Poupart
The variational autoencoder is a well defined deep generative model that utilizes an encoder-decoder framework where an encoding neural network outputs a non-deterministic code for…