Conference Papers

  • Hierarchical Autoregressive Modeling for Neural Video Compression
    Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt
    Internatinal Conference on Learning Representations (ICLR), 2021

  • Improving Inference for Neural Image Compression
    Yibo Yang, Robert Bamler, and Stephan Mandt
    Conference on Neural Information Processing Systems (NeurIPS), 2020
    [pdf] [code]

  • Variational Bayesian Quantization
    Yibo Yang*, Robert Bamler*, and Stephan Mandt
    International Conference on Machine Learning (ICML), 2020
    [pdf] [slides]

  • Lifted Hybrid Variational Inference
    Yuqiao Chen*, Yibo Yang*, Sriraam Natarajan, and Nicholas Ruozzi
    International Joint Conference on Artificial Intelligence (IJCAI), 2020

  • One-Shot Marginal MAP Inference in Markov Random Fields
    Hao Xiong*, Yuanzhen Guo*, Yibo Yang*, and Nicholas Ruozzi
    Uncertainty in Artificial Intelligence (UAI), 2019


  • Foundations of a Fast, Data-Driven, Machine-Learned Simulator
    Jessica N. Howard, Stephan Mandt, Daniel Whiteson, Yibo Yang (alphabetical order)

Workshop Papers

  • Deep Generative Video Compression with Temporal Autoregressive Transform
    Ruihan Yang, Yibo Yang, Joseph Marino, Yang Yang, Stephan Mandt
    ICML 2020 Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models

  • Efficient Neural Network Pruning and Quantization by Hard Clustering
    Yibo Yang, Nicholas Ruozzi, Vibhav Gogate
    AAAI 2019 Workshop on Network Interpretability for Deep Learning

* denotes equal contribution.