Opinion summarization is the task of automatically creating summaries that reflect subjective
information expressed in multiple documents, such as product reviews. While the majority of …

We introduce SceneDiffuser, a conditional generative model for 3D scene understanding.
SceneDiffuser provides a unified model for solving scene-conditioned generation …

Deep generative models are often used for human motion prediction as they are able to
model multi-modal data distributions and characterize diverse human behavior. While much …

Spoken language understanding (SLU) is a fundamental task in the task-oriented dialogue
systems. However, the inevitable errors from automatic speech recognition (ASR) usually …

In order to plan a safe maneuver an autonomous vehicle must accurately perceive its
environment, and understand the interactions among traffic participants. In this paper, we …

When trained effectively, the Variational Autoencoder (VAE) can be both a powerful
generative model and an effective representation learning framework for natural language …

Due to the strategic importance of satellites, the safety and reliability of satellites have
become more important. Sensors that monitor satellites generate lots of multivariate time …

RNA engineering has immense potential to drive innovation in biotechnology and medicine.
Despite its importance, a versatile platform for the automated design of functional RNA is still …

Automatic gesture synthesis from speech is a topic that has attracted researchers for
applications in remote communication, video games and Metaverse. Learning the mapping …

We introduce the use of autoregressive normalizing flows for rapid likelihood-free inference
of binary black hole system parameters from gravitational-wave data with deep neural …