Conor Durkan

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Maximum Likelihood

Probabilistic Inference

Spline Interpolation

Neural Information Processing

Top Venues

J. Open Source Softw.

Publications

Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. CoRR (2023)
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. ICML (2023)
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
Continuous diffusion for categorical data. CoRR (2022)
Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
Maximum Likelihood Training of Score-Based Diffusion Models. NeurIPS (2021)
Conor Durkan, Yang Song
On Maximum Likelihood Training of Score-Based Generative Models. CoRR (2021)
Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
sbi: A toolkit for simulation-based inference. J. Open Source Softw. 5 (52) (2020)
Conor Durkan, Iain Murray, George Papamakarios
On Contrastive Learning for Likelihood-free Inference. ICML (2020)
Álvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
SBI - A toolkit for simulation-based inference. CoRR (2020)
Conor Durkan, Iain Murray, George Papamakarios
On Contrastive Learning for Likelihood-free Inference. CoRR (2020)
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
Neural Spline Flows. CoRR (2019)
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
Neural Spline Flows. NeurIPS (2019)
Conor Durkan, Charlie Nash
Autoregressive Energy Machines. ICML (2019)
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios
Cubic-Spline Flows. CoRR (2019)
Charlie Nash, Conor Durkan
Autoregressive Energy Machines. CoRR (2019)
Conor Durkan, George Papamakarios, Iain Murray
Sequential Neural Methods for Likelihood-free Inference. CoRR (2018)