Frank Wood

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2013–2025

Best venue rank

Where they publish

Papers

35 indexed papers, newest first.

Year	Venue	Title	Authors
2025	AAAI	Constrained Generative Modeling with Manually Bridged Diffusion Models.	Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood
2025	ICML	Towards a Mechanistic Explanation of Diffusion Model Generalization.	Matthew Niedoba, Berend Zwartsenberg, Kevin Patrick Murphy, Frank Wood
2024	AI	On Neural Process Pooling Operator Choice and Posterior Calibration.	Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood
2024	ICML	All-in-one simulation-based inference.	Manuel Glckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke
2024	ICML	Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance.	Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan, Berend Zwartsenberg, Frank Wood
2024	ICML	Nearest Neighbour Score Estimators for Diffusion Generative Models.	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	ICML	Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning.	Jinsoo Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss
2023	ICLR	Critic Sequential Monte Carlo.	Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
2023	ICML	Uncertain Evidence in Probabilistic Models and Stochastic Simulators.	Andreas Munk, Alexander Mead, Frank Wood
2023	ICML	Graphically Structured Diffusion Models.	Christian Dietrich Weilbach, William Harvey, Frank Wood
2022	AISTATS	Amortized Rejection Sampling in Universal Probabilistic Programming.	Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schrder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
2022	ICLR	Conditional Image Generation by Conditioning Variational Auto-Encoders.	William Harvey, Saeid Naderiparizi, Frank Wood
2022	IJCNN	Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training.	William Harvey, Michael Teng, Frank Wood
2022	IROS	Vehicle Type Specific Waypoint Generation.	Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood
2022	WACV	Enhancing Few-Shot Image Classification with Unlabelled Examples.	Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
2022	UAI	Probabilistic surrogate networks for simulators with unbounded randomness.	Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Gnes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
2022	SIMULTECH	Attention for Inference Compilation.	William Harvey, Andreas Munk, Atilim Gnes Baydin, Alexander Bergholm, Frank Wood
2021	ICML	Robust Asymmetric Learning in POMDPs.	Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
2021	IJCNN	Assisting the Adversary to Improve GAN Training.	Andreas Munk, William Harvey, Frank Wood
2021	UAI	Sequential core-set Monte Carlo.	Boyan Beronov, Christian Weilbach, Frank Wood, Trevor Campbell
2021	UAI	q-Paths: Generalizing the geometric annealing path using power means.	Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2020	AISTATS	Coping With Simulators That Don't Always Return.	Andrew Warrington, Frank Wood, Saeid Naderiparizi
2020	AISTATS	Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.	Christian Weilbach, Boyan Beronov, Frank Wood, William Harvey
2020	CVPR	Improved Few-Shot Visual Classification.	Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal
2020	ICML	All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.	Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
2020	UAI	Semi-supervised Sequential Generative Models.	Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
2019	AISTATS	LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models.	Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood
2019	ICML	Amortized Monte Carlo Integration.	Adam Golinski, Frank Wood, Tom Rainforth
2019	SC	Etalumis: bringing probabilistic programming to scientific simulators at scale.	Atilim Gnes 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	UAI	Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow.	Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood
2018	ICLR	Online Learning Rate Adaptation with Hypergradient Descent.	Atilim Gunes Baydin, Robert Cornish, David Martnez-Rubio, Mark Schmidt, Frank Wood
2018	ICLR	Auto-Encoding Sequential Monte Carlo.	Tuan Anh Le, Maximilian Igl, Tom Rainforth, Tom Jin, Frank Wood
2018	ICML	Deep Variational Reinforcement Learning for POMDPs.	Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson
2018	ICML	Tighter Variational Bounds are Not Necessarily Better.	Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh
2013	EMNLP	A Joint Learning Model of Word Segmentation, Lexical Acquisition, and Phonetic Variability.	Micha Elsner, Sharon Goldwater, Naomi Feldman, Frank Wood