Christian A. Naesseth

46 papers A* 7A 6B 1Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flow Matching for Tabular Data Synthesis. Trans. Mach. Learn. Res. Bahrul Ilmi Nasution, Floor Eijkelboom, Mark Elliot, Richard Allmendinger, Christian A. Naesseth
2026	J	`jnl`	Maximin Robust Bayesian Experimental Design. CoRR Hany Abdulsamad, Sahel Iqbal, Christian A. Naesseth, Takuo Matsubara, Adrien Corenflos
2026	J	`jnl`	Towards Latent Diffusion Suitable For Text. CoRR Nesta Midavaine, Christian A. Naesseth, Grigory Bartosh
2025	J	`jnl`	A Geometric Approach to Optimal Experimental Design. CoRR Gavin Kerrigan, Christian A. Naesseth, Tom Rainforth
2025	A*	`conf`	Controlled Generation with Equivariant Variational Flow Matching. ICML Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent
2025	J	`jnl`	Controlled Generation with Equivariant Variational Flow Matching. CoRR Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent
2025	J	`jnl`	Equivariant Neural Diffusion for Molecule Generation. CoRR François R. J. Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian A. Naesseth
2025	J	`jnl`	Flow Matching for Tabular Data Synthesis. CoRR Bahrul Ilmi Nasution, Floor Eijkelboom, Mark J. Elliot, Richard Allmendinger, Christian A. Naesseth
2025	A	`conf`	Max-Rank: Efficient Multiple Testing for Conformal Prediction. AISTATS Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Christian A. Naesseth, Eric T. Nalisnick
2025	J	`jnl`	Monitoring Risks in Test-Time Adaptation. CoRR Mona Schirmer, Metod Jazbec, Christian A. Naesseth, Eric T. Nalisnick
2025	A	`conf`	On Continuous Monitoring of Risk Violations under Unknown Shift. UAI Alexander Timans, Rajeev Verma, Eric T. Nalisnick, Christian A. Naesseth
2025	J	`jnl`	On Continuous Monitoring of Risk Violations under Unknown Shift. CoRR Alexander Timans, Rajeev Verma, Eric T. Nalisnick, Christian A. Naesseth
2025	A*	`conf`	SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations. ICML Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2025	J	`jnl`	SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations. CoRR Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2025	A	`conf`	Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space. AISTATS Alex Chen, Philippe Chlenski, Kenneth Munyuza, Antonio Khalil Moretti, Christian A. Naesseth, Itsik Pe'er
2025	J	`jnl`	Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space. CoRR Alex Chen, Philippe Chlenski, Kenneth Munyuza, Antonio Khalil Moretti, Christian A. Naesseth, Itsik Pe'er
2024	J	`jnl`	E-Valuating Classifier Two-Sample Tests. Trans. Mach. Learn. Res. Teodora Pandeva, Tim Bakker, Christian A. Naesseth, Patrick Forré
2024	J	`jnl`	Fast yet Safe: Early-Exiting with Risk Control. CoRR Metod Jazbec, Alexander Timans, Tin Hadzi Veljkovic, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric T. Nalisnick
2024	A*	`conf`	Neural Diffusion Models. ICML Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2024	J	`jnl`	Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling. CoRR Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2024	—	`ed.`	Symposium on Advances in Approximate Bayesian Inference, Vienna, Austria, 21 July 2024. AABI Javier Antorán, Christian A. Naesseth
2024	J	`jnl`	VISA: Variational Inference with Sequential Sample-Average Approximations. CoRR Heiko Zimmermann, Christian A. Naesseth, Jan-Willem van de Meent
2024	J	`jnl`	Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. CoRR Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
2024	J	`jnl`	Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. Trans. Mach. Learn. Res. Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
2023	J	`jnl`	A Variational Perspective on Generative Flow Networks. Trans. Mach. Learn. Res. Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
2023	J	`jnl`	Neural Diffusion Models. CoRR Grigory Bartosh, Dmitry P. Vetrov, Christian A. Naesseth
2023	A*	`conf`	Practical and Asymptotically Exact Conditional Sampling in Diffusion Models. NeurIPS Luhuan Wu, Brian L. Trippe, Christian A. Naesseth, David M. Blei, John P. Cunningham
2023	J	`jnl`	Practical and Asymptotically Exact Conditional Sampling in Diffusion Models. CoRR Luhuan Wu, Brian L. Trippe, Christian A. Naesseth, David M. Blei, John P. Cunningham
2023	J	`jnl`	Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport. Trans. Mach. Learn. Res. Liyi Zhang, David M. Blei, Christian A. Naesseth
2022	J	`jnl`	A Variational Perspective on Generative Flow Networks. CoRR Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
2022	J	`jnl`	E-Valuating Classifier Two-Sample Tests. CoRR Teodora Pandeva, Tim Bakker, Christian A. Naesseth, Patrick Forré
2022	J	`jnl`	Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport. CoRR Liyi Zhang, Christian A. Naesseth, David M. Blei
2021	J	`jnl`	Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference. CoRR Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er
2021	A	`conf`	variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference. UAI Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er
2020	A*	`conf`	Markovian Score Climbing: Variational Inference with KL(p\|\|q). NeurIPS Christian A. Naesseth, Fredrik Lindsten, David M. Blei
2020	J	`jnl`	Markovian Score Climbing: Variational Inference with KL(p\|\|q). CoRR Christian A. Naesseth, Fredrik Lindsten, David M. Blei
2019	J	`jnl`	Elements of Sequential Monte Carlo. CoRR Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2019	J	`jnl`	Elements of Sequential Monte Carlo. Found. Trends Mach. Learn. Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2019	J	`jnl`	High-Dimensional Filtering Using Nested Sequential Monte Carlo. IEEE Trans. Signal Process. Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2018	A	`conf`	Variational Sequential Monte Carlo. AISTATS Christian A. Naesseth, Scott W. Linderman, Rajesh Ranganath, David M. Blei
2017	A	`conf`	Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms. AISTATS Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei
2016	A*	`conf`	Interacting Particle Markov Chain Monte Carlo. ICML Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood
2015	A*	`conf`	Nested Sequential Monte Carlo Methods. ICML Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2014	B	`conf`	Capacity estimation of two-dimensional channels using Sequential Monte Carlo. ITW Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2014	J	`jnl`	Capacity estimation of two-dimensional channels using Sequential Monte Carlo. CoRR Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
2014	—	`conf`	Sequential Monte Carlo for Graphical Models. NIPS Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön