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Christian A. Naesseth
Christian A. Naesseth
Assistant Professor, University of Amsterdam
Verified email at uva.nl - Homepage
Title
Cited by
Cited by
Year
Variational Sequential Monte Carlo
CA Naesseth, SW Linderman, R Ranganath, DM Blei
The 21st International Conference on Artificial Intelligence and Statistics …, 2018
2492018
Reparameterization gradients through acceptance-rejection sampling algorithms
CA Naesseth, FJR Ruiz, SW Linderman, DM Blei
The 20th International Conference on Artificial Intelligence and Statistics …, 2017
1312017
Sequential Monte Carlo Methods for System Identification
TB Schön, F Lindsten, J Dahlin, J Wågberg, CA Naesseth, A Svensson, ...
IFAC Symposium on System Identification, 2015
1052015
Elements of Sequential Monte Carlo
CA Naesseth, F Lindsten, TB Schön
Foundations and Trends® in Machine Learning 12 (3), 307-392, 2019
1032019
Nested Sequential Monte Carlo Methods
CA Naesseth, F Lindsten, TB Schön
The 32nd International Conference on Machine Learning (ICML) 37, 1292–1301, 2015
892015
Divide-and-conquer with sequential Monte Carlo
F Lindsten, AM Johansen, CA Naesseth, B Kirkpatrick, TB Schön, ...
Journal of Computational and Graphical Statistics 26 (2), 445-458, 2017
712017
Sequential Monte Carlo for Graphical Models
CA Naesseth, F Lindsten, TB Schön
Advances in Neural Information Processing Systems 27, 2014
522014
Markovian Score Climbing: Variational Inference with KL(p||q)
CA Naesseth, F Lindsten, D Blei
Advances in Neural Information Processing Systems 34, 2020
512020
High-dimensional filtering using nested sequential Monte Carlo
CA Naesseth, F Lindsten, TB Schön
IEEE Transactions on Signal Processing 67 (16), 4177-4188, 2019
432019
Interacting Particle Markov Chain Monte Carlo
T Rainforth, CA Naesseth, F Lindsten, B Paige, JW van de Meent, ...
The 33rd International Conference on Machine Learning (ICML) 48, 2616–2625, 2016
402016
Practical and asymptotically exact conditional sampling in diffusion models
L Wu, B Trippe, C Naesseth, D Blei, JP Cunningham
Advances in Neural Information Processing Systems 36, 2023
232023
Twisted Variational Sequential Monte Carlo
D Lawson, G Tucker, CA Naesseth, CJ Maddison, RP Adams, YW Teh
3rd workshop on Bayesian Deep Learning (NeurIPS), 2018
222018
Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference
AK Moretti, L Zhang, CA Naesseth, H Venner, D Blei, I Pe'er
The 37th Conference on Uncertainty in Artificial Intelligence (UAI), 2021
172021
A Variational Perspective on Generative Flow Networks
H Zimmermann, F Lindsten, JW van de Meent, CA Naesseth
Transactions on Machine Learning Research, 2023
162023
E-valuating classifier two-sample tests
T Pandeva, T Bakker, CA Naesseth, P Forré
Transactions on Machine Learning Research, 2024
92024
Capacity estimation of two-dimensional channels using Sequential Monte Carlo
CA Naesseth, F Lindsten, TB Schön
The 2014 IEEE Information Theory Workshop, 2014
62014
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
L Zhang, DM Blei, CA Naesseth
Transactions on Machine Learning Research, 2023
52023
Towards Automated Sequential Monte Carlo for Probabilistic Graphical Models
CA Naesseth, F Lindsten, TB Schön
NIPS Workshop on Black Box Inference and Learning, 2015
42015
Neural Diffusion Models
G Bartosh, D Vetrov, CA Naesseth
The 41st International Conference on Machine Learning (ICML) 235, 3073-3095, 2024
22024
Inverse articulated-body dynamics from video via variational sequential Monte Carlo
D Biderman, CA Naesseth, L Wu, T Abe, AC Mosberger, LJ Sibener, ...
First workshop on differentiable vision, graphics, and physics applied to …, 2020
22020
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