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Frank D. Wood

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Tuan Anh Le 0001

> Home > Persons > Frank D. Wood

Publications

2020
[c52]
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  - conf/uai/TengLSW20
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Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood:
Semi-supervised Sequential Generative Models. UAI 2020: 649-658
[i51]
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  - journals/corr/abs-2007-00155
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Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood:
Semi-supervised Sequential Generative Models. CoRR abs/2007.00155 (2020)
2019
[c48]
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  - conf/nips/MasraniLW19
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Vaden Masrani, Tuan Anh Le, Frank Wood:
The Thermodynamic Variational Objective. NeurIPS 2019: 11521-11530
[c46]
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  - conf/uai/LeK0TW19
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Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood:
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow. UAI 2019: 1039-1049
[i41]
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  - journals/corr/abs-1907-00031
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Vaden Masrani, Tuan Anh Le, Frank Wood:
The Thermodynamic Variational Objective. CoRR abs/1907.00031 (2019)
2018
[c44]
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  - electronic edition @ openreview.net (open access)
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  - conf/iclr/LeIRJW18
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Tuan Anh Le, Maximilian Igl, Tom Rainforth, Tom Jin, Frank Wood:
Auto-Encoding Sequential Monte Carlo. ICLR (Poster) 2018
[c43]
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  - conf/icml/IglZLWW18
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Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson:
Deep Variational Reinforcement Learning for POMDPs. ICML 2018: 2122-2131
[c42]
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  - conf/icml/RainforthKLMIWT18
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Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh:
Tighter Variational Bounds are Not Necessarily Better. ICML 2018: 4274-4282
[i33]
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  - journals/corr/abs-1802-04537
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Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh:
Tighter Variational Bounds are Not Necessarily Better. CoRR abs/1802.04537 (2018)
[i30]
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  - journals/corr/abs-1805-10469
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Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood:
Revisiting Reweighted Wake-Sleep. CoRR abs/1805.10469 (2018)
[i29]
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  - journals/corr/abs-1806-02426
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Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson:
Deep Variational Reinforcement Learning for POMDPs. CoRR abs/1806.02426 (2018)
2017
[c39]
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  - conf/aistats/LeBW17
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Tuan Anh Le, Atilim Gunes Baydin, Frank D. Wood:
Inference Compilation and Universal Probabilistic Programming. AISTATS 2017: 1338-1348
[c38]
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  dblp key:
  - conf/ijcnn/LeBZW17
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Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood:
Using synthetic data to train neural networks is model-based reasoning. IJCNN 2017: 3514-3521
[i26]
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  - journals/corr/LeBZW17
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Tuan Anh Le, Atilim Gunes Baydin, Robert Zinkov, Frank D. Wood:
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning. CoRR abs/1703.00868 (2017)
[i23]
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  dblp key:
  - journals/corr/RainforthLMOW17
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Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A. Osborne, Frank D. Wood:
Bayesian Optimization for Probabilistic Programs. CoRR abs/1707.04314 (2017)
[i20]
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  - journals/corr/abs-1712-07901
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Mario Lezcano Casado, Atilim Gunes Baydin, David Martínez-Rubio, Tuan Anh Le, Frank D. Wood, Lukas Heinrich, Gilles Louppe, Kyle Cranmer, Karen Ng, Wahid Bhimji, Prabhat:
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators. CoRR abs/1712.07901 (2017)
2016
[c28]
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  - conf/nips/RainforthLMOW16
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Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A. Osborne, Frank D. Wood:
Bayesian Optimization for Probabilistic Programs. NIPS 2016: 280-288
[i16]
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  - journals/corr/LeBW16
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Tuan Anh Le, Atilim Gunes Baydin, Frank D. Wood:
Inference Compilation and Universal Probabilistic Programming. CoRR abs/1610.09900 (2016)
2015
[i6]
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  - journals/corr/PerovLW15
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Yura N. Perov, Tuan Anh Le, Frank D. Wood:
Data-driven Sequential Monte Carlo in Probabilistic Programming. CoRR abs/1512.04387 (2015)

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