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Christian A. Naesseth
1,668 posts
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Christian A. Naesseth
@canaesseth
Assistant Professor of Machine Learning | @AmlabUva @UvA_Amsterdam @Ellis_Amsterdam | Generative AI, Uncertainty Quantification, AI4Science
naesseth.github.io
Joined February 2014
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  • user avatar
    Christian A. Naesseth
    @canaesseth
    Jul 17, 2025
    SDE Matching is truly something exceptional. First ever algorithm capable of learning partially observed diffusions (Latent SDEs) from data without resorting to simulation or discretisation of the SDE! #SDE #Diffusion #Flow #GenerativeAI
    user avatar
    Grigory Bartosh
    @GrigoryBartosh
    Jul 16, 2025
    📢Presenting SDE Matching🔥🔥🔥 🚀We extend diffusion models to construct a simulation-free framework for training Latent SDEs. It enables sampling from the exact posterior process marginals without any numerical simulations. 📜: arxiv.org/abs/2502.02472 🧵1/8
    00:00
    14K
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Feb 5, 2025
    We note a connection between diffusion/flow models and neural/latent SDEs. We show how to use this for simulation-free learning of fully flexible SDEs. SDE Matching shows drastic speed improvements and unlocks the full potential of Latent SDEs for generative modeling.#GenAI #ML
    19K
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Jan 4, 2022
    Exciting news! As of yesterday I am officially an assistant professor in the @AmlabUva at @UvA_Amsterdam 🥳🍾🎉 Really looking forward to this next step and joining the faculty @wellingmax @jwvdm @eric_nalisnick @erikjbekkers @herkevanhoof Patrick Forré
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Mar 7, 2022
    🧑‍🎓 PhD opportunity in Machine Learning I am recruiting a PhD student to work with me at @AmlabUva in Amsterdam on topics such as approximate statistical inference, causal inference, generalization, etc. Deadline April 10 vacatures.uva.nl/UvA/job/PhD-Po…
  • user avatar
    Christian A. Naesseth
    @canaesseth
    May 7, 2025
    Two (out of two!) accepted papers to #ICML2025 from my lab! 1. SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations 2. Controlled Generation with Equivariant Variational Flow Matching #GenAI #SDE #Bayes #ML #Diffusion #Flows #AI
    13K
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Sep 25, 2024
    Decisions for #NeurIPS2024 are out!!! My lab is 5/5 🥳🔥🤩😄
    22K
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Mar 13, 2019
    We have published a tutorial on importance sampling and sequential Monte Carlo methods and their application in ML and statistics. Highlights include learning proposals and target distributions, unbiasedness results for normalization constants and more. arxiv.org/abs/1903.04797
  • user avatar
    Christian A. Naesseth
    @canaesseth
    May 7, 2025
    Wow, I am floored! With the UAI results in, my lab with collaborators have achieved the #PerfectGame 🏆 100% acceptance rate across an entire #ML cycle! (5/5 #NeurIPS, #ICLR, 2/2 #AISTATS, 2/2 #ICML, 1/1 #UAI) 10 for 10. 🥳🍾🤩 #Science #AI #ElementalAI
    16K
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Feb 22, 2018
    We combine variational and Monte Carlo methods for approximate Bayesian inference. VSMC is a new variational family with theoretical guarantees. We provide a new VI interpretation of the IWAE and other MC objectives! arxiv.org/abs/1705.11140 @blei_lab @scott_linderman #aistats2018
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Mar 7, 2022
    Inspired by the new chapter on sequential Monte Carlo (SMC) methods in @sirbayes updated (excellent) probabilistic machine learning book I finally got around to uploading the latest version of our SMC tutorial "Elements of Sequential Monte Carlo" arxiv.org/abs/1903.04797
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Apr 27, 2025
    Come check out SDE Matching at the #ICLR2025 workshops, a new simulation-free framework for training fully general Latent/Neural SDEs (generalisation of diffusion and bridge models). FPI: Morning poster session DeLTa: Afternoon poster session #SDE #Bayes #GenAI #Diffusion #Flow
    6.5K
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Aug 30, 2024
    I’m hiring a postdoc to work with me on exciting projects in generative modelling (AI) and/or uncertainty quantification. You'll be part of a great team, embedded in @AmlabUva and the UvA-Bosch Delta Lab. Apply here: vacatures.uva.nl/UvA/job/Postdo… RT appreciated! #ML #GenAI
    17K
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Jul 17, 2025
    MC methods researchers in 2024: "I develop Monte Carlo methods" MC methods researchers in 2025: "I develop inference-time* scaling methods" *test-time (my pet peeve) #Scaling #BoN #SMC #MonteCarlo #Diffusion
    4.7K
  • user avatar
    Christian A. Naesseth
    @canaesseth
    Oct 8, 2024
    I guess we are physicists now...
    user avatar
    The Nobel Prize
    @NobelPrize
    Oct 8, 2024
    BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
    4.8K