Activities

Are Normalizing Flows Good Candidates for Interactive World Models?

Scalable Normalizing Flows for Visual and Multimodal Generation

Should Embodied Intelligence Care About 3D?

Reasoning in Continuous Space

Learning World Models for Robust Physical Intelligence

Scalable Normalizing Flows for Visual Generation

End-to-End Generative Video Modeling with Scalable Normalizing Flows

Scalable Normalizing Flows for Visual Generation

Learning Reliable and Efficient Generative Intelligence

Towards Flexible, Scalable and Knowledgeable Generative Intelligence

BOOT: data-free distillation of denoising diffusion models with bootstrapping

Towards Efficient Diffusion Models for 3D Generation

Non-autoregressive Sequence Generation

StyleNeRF: A style-based 3d-aware generator for high-resolution image synthesis

Multilingual Denoising Pre-training for Neural Machine Translation

Understanding Knowledge Distillation in Neural Sequence Generation

Understanding Knowledge Distillation in Neural Sequence Generation

Non-autoregressive Neural Machine Translation

Learning to Share: towards Zero-Resource Neural Machine Translation without Pivots

Trainable Decoding for Neural Machine Translation

Learning to Translate in Real-time with Neural Machine Translation