Lehrmann, Andreas

10 publications

TMLR 2024 DynaConF: Dynamic Forecasting of Non-Stationary Time Series Siqi Liu, Andreas Lehrmann

TMLR 2022 Efficient CDF Approximations for Normalizing Flows Chandramouli Shama Sastry, Andreas Lehrmann, Marcus A Brubaker, Alexander Radovic

ICMLW 2021 Agent Forecasting at Flexible Horizons Using ODE Flows Alexander Radovic, Jiawei He, Janahan Ramanan, Marcus A Brubaker, Andreas Lehrmann

NeurIPS 2021 Continuous Latent Process Flows Ruizhi Deng, Marcus A Brubaker, Greg Mori, Andreas Lehrmann

ECCV 2020 Generating Videos of Zero-Shot Compositions of Actions and Objects Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori

NeurIPS 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Ruizhi Deng, Bo Chang, Marcus A Brubaker, Greg Mori, Andreas Lehrmann

ICLR 2019 Variational Autoencoders with Jointly Optimized Latent Dependency Structure Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas Lehrmann

ECCV 2018 Probabilistic Video Generation Using Holistic Attribute Control Jiawei He, Andreas Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal

NeurIPS 2017 Non-Parametric Structured Output Networks Andreas Lehrmann, Leonid Sigal

NeurIPS 2017 Visual Reference Resolution Using Attention Memory for Visual Dialog Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han, Leonid Sigal