Christian A. Naesseth

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Diffusion Model

Variational Inference

Labeled Samples

Sequential Monte Carlo

Top Venues

Trans. Mach. Learn. Res.

Publications

Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. CoRR (2024)
Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling. CoRR (2024)
Heiko Zimmermann, Christian A. Naesseth, Jan-Willem van de Meent
VISA: Variational Inference with Sequential Sample-Average Approximations. CoRR (2024)
Teodora Pandeva, Tim Bakker, Christian A. Naesseth, Patrick Forré
E-Valuating Classifier Two-Sample Tests. Trans. Mach. Learn. Res. 2024 (2024)
Metod Jazbec, Alexander Timans, Tin Hadzi Veljkovic, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric T. Nalisnick
Fast yet Safe: Early-Exiting with Risk Control. CoRR (2024)
Luhuan Wu, Brian L. Trippe, Christian A. Naesseth, David M. Blei, John P. Cunningham
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models. CoRR (2023)
Luhuan Wu, Brian L. Trippe, Christian A. Naesseth, David M. Blei, John P. Cunningham
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models. NeurIPS (2023)
Liyi Zhang, David M. Blei, Christian A. Naesseth
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport. Trans. Mach. Learn. Res. 2023 (2023)
Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
Neural Diffusion Models. CoRR (2023)
Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
A Variational Perspective on Generative Flow Networks. Trans. Mach. Learn. Res. 2023 (2023)
Liyi Zhang, Christian A. Naesseth, David M. Blei
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport. CoRR (2022)
Teodora Pandeva, Tim Bakker, Christian A. Naesseth, Patrick Forré
E-Valuating Classifier Two-Sample Tests. CoRR (2022)
Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
A Variational Perspective on Generative Flow Networks. CoRR (2022)
Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er
Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference. CoRR (2021)
Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference. UAI (2021)
Christian A. Naesseth, Fredrik Lindsten, David M. Blei
Markovian Score Climbing: Variational Inference with KL(p||q). NeurIPS (2020)
Christian A. Naesseth, Fredrik Lindsten, David M. Blei
Markovian Score Climbing: Variational Inference with KL(p||q). CoRR (2020)
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
High-Dimensional Filtering Using Nested Sequential Monte Carlo. IEEE Trans. Signal Process. 67 (16) (2019)
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
Elements of Sequential Monte Carlo. Found. Trends Mach. Learn. 12 (3) (2019)
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
Elements of Sequential Monte Carlo. CoRR (2019)
Christian A. Naesseth, Scott W. Linderman, Rajesh Ranganath, David M. Blei
Variational Sequential Monte Carlo. AISTATS (2018)
Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms. AISTATS (2017)
Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood
Interacting Particle Markov Chain Monte Carlo. ICML (2016)
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
Nested Sequential Monte Carlo Methods. ICML (2015)
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
Sequential Monte Carlo for Graphical Models. NIPS (2014)
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
Capacity estimation of two-dimensional channels using Sequential Monte Carlo. ITW (2014)
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
Capacity estimation of two-dimensional channels using Sequential Monte Carlo. CoRR (2014)