5 citations · 24 across the 7 of their papers we have counts for
5 papers · 1 filter
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
Bo Pang, Ying Nian Wu
We propose a latent space energy-based prior model for text generation and classification. The model stands on a generator network that generates the text sequence based on a conti…
Generative Text Modeling through Short Run Inference
Bo Pang, Erik Nijkamp, Tian Han +1
Latent variable models for text, when trained successfully, accurately model the data distribution and capture global semantic and syntactic features of sentences. The prominent ap…
Trajectory Prediction with Latent Belief Energy-Based Model
Bo Pang, Tianyang Zhao, Xu Xie +1
Human trajectory prediction is critical for autonomous platforms like self-driving cars or social robots. We present a latent belief energy-based model (LB-EBM) for diverse human t…
Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling
Bo Pang, Erik Nijkamp, Jiali Cui +2
This paper proposes a latent space energy-based prior model for semi-supervised learning. The model stands on a generator network that maps a latent vector to the observed example.…
Learning Latent Space Energy-Based Prior Model for Molecule Generation
Bo Pang, Tian Han, Ying Nian Wu
Deep generative models have recently been applied to molecule design. If the molecules are encoded in linear SMILES strings, modeling becomes convenient. However, models relying on…