Conor Durkan

17 papers A* 5Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
sbi reloaded: a toolkit for simulation-based inference workflows.
J. Open Source Softw.
Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke
2024 J jnl
sbi reloaded: a toolkit for simulation-based inference workflows.
CoRR
Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke
2023 A* conf
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC.
ICML
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl
2023 J jnl
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC.
CoRR
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
2022 J jnl
Continuous diffusion for categorical data.
CoRR
Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler
2021 A* conf
Maximum Likelihood Training of Score-Based Diffusion Models.
NeurIPS
Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
2021 J jnl
On Maximum Likelihood Training of Score-Based Generative Models.
CoRR
Conor Durkan, Yang Song
2020 A* conf
On Contrastive Learning for Likelihood-free Inference.
ICML
Conor Durkan, Iain Murray, George Papamakarios
2020 J jnl
On Contrastive Learning for Likelihood-free Inference.
CoRR
Conor Durkan, Iain Murray, George Papamakarios
2020 J jnl
SBI - A toolkit for simulation-based inference.
CoRR
Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
2020 J jnl
sbi: A toolkit for simulation-based inference.
J. Open Source Softw.
Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
2019 A* conf
Autoregressive Energy Machines.
ICML
Conor Durkan, Charlie Nash
2019 J jnl
Autoregressive Energy Machines.
CoRR
Charlie Nash, Conor Durkan
2019 J jnl
Cubic-Spline Flows.
CoRR
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2019 A* conf
Neural Spline Flows.
NeurIPS
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2019 J jnl
Neural Spline Flows.
CoRR
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
2018 J jnl
Sequential Neural Methods for Likelihood-free Inference.
CoRR
Conor Durkan, George Papamakarios, Iain Murray