Frank Wood - RankMe

114 papers A* 25A 12B 2C 1Journal 67Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computational Bayesian Experimental Design and Inference for Assisted Linear Circuit Prototype Debug. IEEE Access Ian Hill, Frank Wood, André Ivanov
2026	J	`jnl`	Improved Constrained Generation by Bridging Pretrained Generative Models. CoRR Xiaoxuan Liang, Saeid Naderiparizi, Yunpeng Liu, Berend Zwartsenberg, Frank Wood
2025	A*	`conf`	Constrained Generative Modeling with Manually Bridged Diffusion Models. AAAI Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2025	J	`jnl`	Constrained Generative Modeling with Manually Bridged Diffusion Models. CoRR Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2025	J	`jnl`	Control-ITRA: Controlling the Behavior of a Driving Model. CoRR Vasileios Lioutas, Adam Scibior, Matthew Niedoba, Berend Zwartsenberg, Frank Wood
2025	J	`jnl`	Daphne: Multi-Pass Compilation of Probabilistic Programs into Graphical Models and Neural Networks. Trans. Mach. Learn. Res. Christian Dietrich Weilbach, Frank Wood
2025	J	`jnl`	On the Challenges and Opportunities in Generative AI. Trans. Mach. Learn. Res. Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2025	J	`jnl`	PLAICraft: Large-Scale Time-Aligned Vision-Speech-Action Dataset for Embodied AI. CoRR Yingchen He, Christian D. Weilbach, Martyna E. Wojciechowska, Yuxuan Zhang, Frank Wood
2025	J	`jnl`	Rolling Ahead Diffusion for Traffic Scene Simulation. CoRR Yunpeng (Larry) Liu, Matthew Niedoba, William Harvey, Adam Scibior, Berend Zwartsenberg, Frank Wood
2025	A*	`conf`	Towards a Mechanistic Explanation of Diffusion Model Generalization. ICML Matthew Niedoba, Berend Zwartsenberg, Kevin Patrick Murphy, Frank Wood
2024	A*	`conf`	All-in-one simulation-based inference. ICML Manuel Glöckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke
2024	J	`jnl`	All-in-one simulation-based inference. CoRR Manuel Glöckler, Michael Deistler, Christian Weilbach, Frank Wood, Jakob H. Macke
2024	A*	`conf`	Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance. ICML Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan, Berend Zwartsenberg, Frank Wood
2024	A*	`conf`	Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning. ICML Jinsoo Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss
2024	J	`jnl`	Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning. CoRR Jason Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss
2024	A*	`conf`	Nearest Neighbour Score Estimators for Diffusion Generative Models. ICML Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024	J	`jnl`	Nearest Neighbour Score Estimators for Diffusion Generative Models. CoRR Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024	—	`conf`	On Neural Process Pooling Operator Choice and Posterior Calibration. Canadian AI Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood
2024	J	`jnl`	On the Challenges and Opportunities in Generative AI. CoRR Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2024	J	`jnl`	Online Continual Learning of Video Diffusion Models From a Single Video Stream. CoRR Jason Yoo, Dylan Green, Geoff Pleiss, Frank Wood
2024	J	`jnl`	Prospective Messaging: Learning in Networks with Communication Delays. CoRR Ryan Fayyazi, Christian Weilbach, Frank Wood
2024	J	`jnl`	Semantically Consistent Video Inpainting with Conditional Diffusion Models. CoRR Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024	J	`jnl`	TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters. CoRR Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Matthew Niedoba, Yunpeng Liu, Dylan Green, Saeid Naderiparizi, Xiaoxuan Liang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
2024	J	`jnl`	Towards a Mechanistic Explanation of Diffusion Model Generalization. CoRR Matthew Niedoba, Berend Zwartsenberg, Kevin Murphy, Frank Wood
2023	A*	`conf`	A Diffusion-Model of Joint Interactive Navigation. NeurIPS Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	J	`jnl`	A Diffusion-Model of Joint Interactive Navigation. CoRR Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	J	`jnl`	Conditional Permutation Invariant Flows. Trans. Mach. Learn. Res. Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
2023	A*	`conf`	Critic Sequential Monte Carlo. ICLR Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
2023	J	`jnl`	Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance. CoRR Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2023	A*	`conf`	Graphically Structured Diffusion Models. ICML Christian Dietrich Weilbach, William Harvey, Frank Wood
2023	J	`jnl`	Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models. CoRR Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior
2023	A*	`conf`	Uncertain Evidence in Probabilistic Models and Stochastic Simulators. ICML Andreas Munk, Alexander Mead, Frank Wood
2023	J	`jnl`	Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images. CoRR Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	—	`conf`	Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images. ITSC Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	J	`jnl`	Visual Chain-of-Thought Diffusion Models. CoRR William Harvey, Frank Wood
2022	A	`conf`	Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
2022	C	`conf`	Attention for Inference Compilation. SIMULTECH William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood
2022	A*	`conf`	BayesPCN: A Continually Learnable Predictive Coding Associative Memory. NeurIPS Jinsoo Yoo, Frank Wood
2022	J	`jnl`	BayesPCN: A Continually Learnable Predictive Coding Associative Memory. CoRR Jason Yoo, Frank Wood
2022	J	`jnl`	Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning. CoRR Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood
2022	A*	`conf`	Conditional Image Generation by Conditioning Variational Auto-Encoders. ICLR William Harvey, Saeid Naderiparizi, Frank Wood
2022	J	`jnl`	Conditional Permutation Invariant Flows. CoRR Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Yunpeng Liu, Justice Sefas, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
2022	J	`jnl`	Critic Sequential Monte Carlo. CoRR Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
2022	A	`conf`	Enhancing Few-Shot Image Classification with Unlabelled Examples. WACV Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
2022	J	`jnl`	Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning. CoRR Michael Teng, Michiel van de Panne, Frank Wood
2022	A*	`conf`	Flexible Diffusion Modeling of Long Videos. NeurIPS William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
2022	J	`jnl`	Flexible Diffusion Modeling of Long Videos. CoRR William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
2022	J	`jnl`	Gradients without Backpropagation. CoRR Atilim Günes Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip H. S. Torr
2022	J	`jnl`	Graphically Structured Diffusion Models. CoRR Christian Weilbach, William Harvey, Frank Wood
2022	B	`conf`	Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training. IJCNN William Harvey, Michael Teng, Frank Wood
2022	—	`ch.`	Probabilistic Programming Languages: Independent Choices and Deterministic Systems. Probabilistic and Causal Inference David Poole, Frank Wood
2022	A	`conf`	Probabilistic surrogate networks for simulators with unbounded randomness. UAI Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
2022	J	`jnl`	TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference. Trans. Mach. Learn. Res. Vasileios Lioutas, Adam Scibior, Frank Wood
2022	J	`jnl`	Uncertain Evidence in Probabilistic Models and Stochastic Simulators. CoRR Andreas Munk, Alexander Mead, Frank Wood
2022	A	`conf`	Vehicle Type Specific Waypoint Generation. IROS Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood
2022	J	`jnl`	Vehicle Type Specific Waypoint Generation. CoRR Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood
2021	B	`conf`	Assisting the Adversary to Improve GAN Training. IJCNN Andreas Munk, William Harvey, Frank Wood
2021	J	`jnl`	Differentiable Particle Filtering without Modifying the Forward Pass. CoRR Adam Scibior, Vaden Masrani, Frank Wood
2021	J	`jnl`	Image Completion via Inference in Deep Generative Models. CoRR William Harvey, Saeid Naderiparizi, Frank Wood
2021	—	`conf`	Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. ITSC Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
2021	J	`jnl`	Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. CoRR Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
2021	J	`jnl`	Planning as Inference in Epidemiological Dynamics Models. Frontiers Artif. Intell. Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri
2021	A*	`conf`	Robust Asymmetric Learning in POMDPs. ICML Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
2021	A	`conf`	Sequential core-set Monte Carlo. UAI Boyan Beronov, Christian Weilbach, Frank Wood, Trevor Campbell
2021	J	`jnl`	q-Paths: Generalizing the Geometric Annealing Path using Power Means. CoRR Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2021	A	`conf`	q-Paths: Generalizing the geometric annealing path using power means. UAI Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2020	A*	`conf`	All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. ICML Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
2020	J	`jnl`	All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference. CoRR Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
2020	J	`jnl`	Annealed Importance Sampling with q-Paths. CoRR Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen
2020	J	`jnl`	Assisting the Adversary to Improve GAN Training. CoRR Andreas Munk, William Harvey, Frank Wood
2020	A	`conf`	Coping With Simulators That Don't Always Return. AISTATS Andrew Warrington, Frank Wood, Saeid Naderiparizi
2020	J	`jnl`	Coping With Simulators That Don't Always Return. CoRR Andrew Warrington, Saeid Naderiparizi, Frank Wood
2020	J	`jnl`	Ensemble Squared: A Meta AutoML System. CoRR Jason Yoo, Tony Joseph, Dylan Yung, Seyed Ali Nasseri, Frank Wood
2020	A*	`conf`	Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective. NeurIPS Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood
2020	J	`jnl`	Gaussian Process Bandit Optimization of theThermodynamic Variational Objective. CoRR Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood
2020	A*	`conf`	Improved Few-Shot Visual Classification. CVPR Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal
2020	J	`jnl`	Improving Few-Shot Visual Classification with Unlabelled Examples. CoRR Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
2020	J	`jnl`	Planning as Inference in Epidemiological Models. CoRR Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri
2020	J	`jnl`	Robust Asymmetric Learning in POMDPs. CoRR Andrew Warrington, J. Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
2020	A	`conf`	Semi-supervised Sequential Generative Models. UAI Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
2020	J	`jnl`	Semi-supervised Sequential Generative Models. CoRR Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
2020	A	`conf`	Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models. AISTATS Christian Weilbach, Boyan Beronov, Frank Wood, William Harvey
2020	J	`jnl`	Target-Aware Bayesian Inference: How to Beat Optimal Conventional Estimators. J. Mach. Learn. Res. Tom Rainforth, Adam Golinski, Frank Wood, Sheheryar Zaidi
2020	J	`jnl`	Uncertainty in Neural Processes. CoRR Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood
2019	A*	`conf`	Amortized Monte Carlo Integration. ICML Adam Golinski, Frank Wood, Tom Rainforth
2019	J	`jnl`	Amortized Monte Carlo Integration. CoRR Adam Golinski, Frank Wood, Tom Rainforth
2019	J	`jnl`	Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
2019	J	`jnl`	Attention for Inference Compilation. CoRR William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood
2019	J	`jnl`	Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. CoRR Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
2019	A*	`conf`	Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. NeurIPS Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood
2019	J	`jnl`	Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. CoRR Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood
2019	A	`conf`	Etalumis: bringing probabilistic programming to scientific simulators at scale. SC Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood
2019	J	`jnl`	Improved Few-Shot Visual Classification. CoRR Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal
2019	A	`conf`	LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models. AISTATS Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood
2019	J	`jnl`	LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models. CoRR Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood
2019	J	`jnl`	Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training. CoRR William Harvey, Michael Teng, Frank Wood
2019	A	`conf`	Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow. UAI Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood
2019	A*	`conf`	The Thermodynamic Variational Objective. NeurIPS Vaden Masrani, Tuan Anh Le, Frank Wood
2019	J	`jnl`	The Thermodynamic Variational Objective. CoRR Vaden Masrani, Tuan Anh Le, Frank Wood
2019	J	`jnl`	The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging. CoRR Andrew Warrington, Arthur P. C. Spencer, Frank Wood
2018	J	`jnl`	An Introduction to Probabilistic Programming. CoRR Jan-Willem van de Meent, Brooks Paige, Hongseok Yang, Frank Wood
2018	—	`conf`	Auto-Encoding Sequential Monte Carlo. ICLR (Poster) Tuan Anh Le, Maximilian Igl, Tom Rainforth, Tom Jin, Frank Wood
2018	A*	`conf`	Bayesian Distributed Stochastic Gradient Descent. NeurIPS Michael Teng, Frank Wood
2018	A*	`conf`	Deep Variational Reinforcement Learning for POMDPs. ICML Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson
2018	J	`jnl`	Deep Variational Reinforcement Learning for POMDPs. CoRR Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson
2018	A*	`conf`	Faithful Inversion of Generative Models for Effective Amortized Inference. NeurIPS Stefan Webb, Adam Golinski, Robert Zinkov, Siddharth Narayanaswamy, Tom Rainforth, Yee Whye Teh, Frank Wood
2018	J	`jnl`	High Throughput Synchronous Distributed Stochastic Gradient Descent. CoRR Michael Teng, Frank Wood
2018	—	`conf`	Online Learning Rate Adaptation with Hypergradient Descent. ICLR (Poster) Atilim Gunes Baydin, Robert Cornish, David Martínez-Rubio, Mark Schmidt, Frank Wood
2018	J	`jnl`	Revisiting Reweighted Wake-Sleep. CoRR Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood
2018	A*	`conf`	Tighter Variational Bounds are Not Necessarily Better. ICML Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh
2018	J	`jnl`	Tighter Variational Bounds are Not Necessarily Better. CoRR Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh
2013	A*	`conf`	A Joint Learning Model of Word Segmentation, Lexical Acquisition, and Phonetic Variability. EMNLP Micha Elsner, Sharon Goldwater, Naomi Feldman, Frank Wood
2007	J	`jnl`	Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. NeuroImage Ramon Casanova, Ryali Srikanth, Aaron H. Baer, Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, Lynn Flowers, Frank Wood, Joseph A. Maldjian
2006	—	`conf`	A Non-Parametric Bayesian Approach to Spike Sorting. EMBC Frank Wood, Sharon Goldwater, Michael J. Black