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Prediction of future states of the environment and interacting agents is a key competence required for autonomous agents to operate successfully in the real world.
Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
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Density estimation by dual ascent of the log-likelihood
Esteban G Tabak, Eric Vanden-Eijnden, et al · 2010
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Nice: Non-linear independent components estimation
Laurent Dinh, David Krueger, and Yoshua Bengio · 2015
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Variational inference with normalizing flows
Danilo Jimenez Rezende and Shakir Mohamed · 2015
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Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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Generating sentences from a continuous space
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio · 2016
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Elbo surgery: yet another way to carve up the variational evidence lower bound
Matthew D Hoffman and Matthew J Johnson · 2016
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Improved variational inference with inverse autoregressive flow
Durk P Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, and Max Welling · 2016
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Learning social etiquette: Human trajectory understanding in crowded scenes
Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
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Improving variational auto-encoders using householder flow
Jakub M Tomczak and Max Welling · 2016
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Variational lossy autoencoder
Xi Chen, Diederik P Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2017
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Density estimation using real nvp
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2017
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Nonparametric variational auto-encoders for hierarchical representation learning
Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, and Eric P Xing · 2017
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Pixelvae: A latent variable model for natural images
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taiga, Francesco Visin, David Vazquez, and Aaron Courville · 2017
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beta-vae: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
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Desire: Distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
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Stick-breaking variational autoencoders
Eric Nalisnick and Padhraic Smyth · 2017
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Variational approaches for auto-encoding generative adversarial networks
Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, and Shakir Mohamed · 2017
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Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, and Bernhard Schoelkopf · 2017
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Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space
Liwei Wang, Alexander Schwing, and Svetlana Lazebnik · 2017
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Improved variational autoencoders for text modeling using dilated convolutions
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, and Taylor Berg-Kirkpatrick · 2017
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Vae with a vampprior
Jakub M Tomczak and Max Welling · 2018
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Analyzing inverse problems with invertible neural networks
Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert, Daniel Rahner, Eric W Pellegrini, Ralf S Klessen, Lena Maier-Hein, Carsten Rother, and Ullrich Köthe · 2019
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Semi-conditional normalizing flows for semi-supervised learning
Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, and Dmitry Vetrov · 2019
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Invertible residual networks
Jens Behrmann, David Duvenaud, and Jörn-Henrik Jacobsen · 2019
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Bayesian prediction of future street scenes using synthetic likelihoods
Apratim Bhattacharyya, Mario Fritz, and Bernt Schiele · 2019
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The mnist sequence dataset
Edwin D. De Jong · 2019
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Infovae: Information maximizing variational autoencoders
Shengjia Zhao, Jiaming Song, and Stefano Ermon · 2017
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Stochastic variational video prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H Campbell, and Sergey Levine · 2018
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Sylvester normalizing flows for variational inference
Rianne van den Berg, Leonard Hasenclever, Jakub M Tomczak, and Max Welling · 2018
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Accurate and diverse sampling of sequences based on a “best of many” sample objective
Apratim Bhattacharyya, Bernt Schiele, and Mario Fritz · 2018
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Convolutional social pooling for vehicle trajectory prediction
Nachiket Deo and Mohan M Trivedi · 2018
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Dialogwae: Multimodal response generation with conditional wasserstein auto-encoder
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, and Sunghun Kim · 2018
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Scene induced multi-modal trajectory forecasting via planning
Nachiket Deo and Mohan M Trivedi · 2019
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Graph neural networks for modelling traffic participant interaction
Frederik Diehl, Thomas Brunner, Michael Truong Le, and Alois Knoll · 2019
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Avoiding latent variable collapse with generative skip models
Adji B Dieng, Yoon Kim, Alexander M Rush, and David M Blei · 2019
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Videoflow: A flow-based generative model for video
Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, and Durk Kingma · 2019
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Cyclical annealing schedule: A simple approach to mitigating kl vanishing
Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin, et al · 2019
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Structured output learning with conditional generative flows
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Preventing posterior collapse with delta-vaes
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Sophie: An attentive gan for predicting paths compliant to social and physical constraints
Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, S Hamid Rezatofighi, and Silvio Savarese · 2019
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Riemannian normalizing flow on variational wasserstein autoencoder for text modeling
Prince Zizhuang Wang and William Yang Wang · 2019
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Multi-agent tensor fusion for contextual trajectory prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, and Ying Nian Wu · 2019
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Latent normalizing flows for discrete sequences
Zachary M Ziegler and Alexander M Rush · 2019
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