Christian A. Naesseth
@canaesseth.bsky.social
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
At #ICML2025 this week?
Come check out our work on controlled generation, simulation-free latent SDEs, and risk monitoring in test-time adaptation, and chat with the awesome students that made it happen!
#SDE #Diffusion #FlowMatching #TTA #UncertaintyQuantification
Come check out our work on controlled generation, simulation-free latent SDEs, and risk monitoring in test-time adaptation, and chat with the awesome students that made it happen!
#SDE #Diffusion #FlowMatching #TTA #UncertaintyQuantification
July 16, 2025 at 9:29 AM
At #ICML2025 this week?
Come check out our work on controlled generation, simulation-free latent SDEs, and risk monitoring in test-time adaptation, and chat with the awesome students that made it happen!
#SDE #Diffusion #FlowMatching #TTA #UncertaintyQuantification
Come check out our work on controlled generation, simulation-free latent SDEs, and risk monitoring in test-time adaptation, and chat with the awesome students that made it happen!
#SDE #Diffusion #FlowMatching #TTA #UncertaintyQuantification
🚨🚀
Come hear @gbarto.bsky.social talk about SDE Matching tomorrow!
SDE Matching is a highly efficient and scalable training framework for Latent/Neural SDEs.
You no longer have to discretize or simulate your SDE models when fitting them to data.
#SDE #Diffusion #FlowMatching #ML
Come hear @gbarto.bsky.social talk about SDE Matching tomorrow!
SDE Matching is a highly efficient and scalable training framework for Latent/Neural SDEs.
You no longer have to discretize or simulate your SDE models when fitting them to data.
#SDE #Diffusion #FlowMatching #ML
June 30, 2025 at 10:40 AM
🚨🚀
Come hear @gbarto.bsky.social talk about SDE Matching tomorrow!
SDE Matching is a highly efficient and scalable training framework for Latent/Neural SDEs.
You no longer have to discretize or simulate your SDE models when fitting them to data.
#SDE #Diffusion #FlowMatching #ML
Come hear @gbarto.bsky.social talk about SDE Matching tomorrow!
SDE Matching is a highly efficient and scalable training framework for Latent/Neural SDEs.
You no longer have to discretize or simulate your SDE models when fitting them to data.
#SDE #Diffusion #FlowMatching #ML
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
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
May 7, 2025 at 10:02 PM
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
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
Reposted by Christian A. Naesseth
Exciting news: AMLab is happy to have 7 papers accepted at #ICML2025! 🎉
See the thread below for the full list 📝 and meet us in Vancouver to discuss them further! 🇨🇦
🧵1 / 8
See the thread below for the full list 📝 and meet us in Vancouver to discuss them further! 🇨🇦
🧵1 / 8
May 6, 2025 at 2:53 PM
Exciting news: AMLab is happy to have 7 papers accepted at #ICML2025! 🎉
See the thread below for the full list 📝 and meet us in Vancouver to discuss them further! 🇨🇦
🧵1 / 8
See the thread below for the full list 📝 and meet us in Vancouver to discuss them further! 🇨🇦
🧵1 / 8
#AISTATS2025 happening in Phuket, Thailand! I have two papers at the conference:
1. Max-Rank: Efficient Multiple Testing for Conformal Prediction
2. Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
Both at poster session 2!
1. Max-Rank: Efficient Multiple Testing for Conformal Prediction
2. Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
Both at poster session 2!
May 3, 2025 at 1:37 AM
#AISTATS2025 happening in Phuket, Thailand! I have two papers at the conference:
1. Max-Rank: Efficient Multiple Testing for Conformal Prediction
2. Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
Both at poster session 2!
1. Max-Rank: Efficient Multiple Testing for Conformal Prediction
2. Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
Both at poster session 2!
Very excited that our work (together with my PhD student @gbarto.bsky.social and our collaborator Dmitry Vetrov) was recognized with a Best Paper Award at #AABI2025!
#ML #SDE #Diffusion #GenAI 🤖🧠
#ML #SDE #Diffusion #GenAI 🤖🧠
Congratulations to the #AABI2025 Workshop Track Outstanding Paper Award recipients!
April 30, 2025 at 12:02 AM
Very excited that our work (together with my PhD student @gbarto.bsky.social and our collaborator Dmitry Vetrov) was recognized with a Best Paper Award at #AABI2025!
#ML #SDE #Diffusion #GenAI 🤖🧠
#ML #SDE #Diffusion #GenAI 🤖🧠
If you missed it and are attending #AABI at NTU today you can find me presenting it again at the afternoon poster session!
approximateinference.org
approximateinference.org
April 28, 2025 at 11:54 PM
If you missed it and are attending #AABI at NTU today you can find me presenting it again at the afternoon poster session!
approximateinference.org
approximateinference.org
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
FPI: Morning poster session
DeLTa: Afternoon poster session
#SDE #Bayes #GenAI #Diffusion #Flow
April 27, 2025 at 11:27 PM
Attending #ICLR2025 and #AABI2025. Presenting at the conference and workshops:
1. E-Valuating Classifier Two-Sample Tests, Friday, Hall 3 + Hall 2B #437
2. SDE Matching, Sunday-Tuesday, FPI/DeLTa/AABI
openreview.net/forum?id=dwF...
arxiv.org/abs/2502.02472
lmk if you want to chat!
1. E-Valuating Classifier Two-Sample Tests, Friday, Hall 3 + Hall 2B #437
2. SDE Matching, Sunday-Tuesday, FPI/DeLTa/AABI
openreview.net/forum?id=dwF...
arxiv.org/abs/2502.02472
lmk if you want to chat!
E-Valuating Classifier Two-Sample Tests
We introduce a powerful deep classifier two-sample test for high-dimensional data based on E-values, called E-C2ST. Our test combines ideas from existing work on split likelihood ratio tests and...
openreview.net
April 21, 2025 at 6:00 AM
Attending #ICLR2025 and #AABI2025. Presenting at the conference and workshops:
1. E-Valuating Classifier Two-Sample Tests, Friday, Hall 3 + Hall 2B #437
2. SDE Matching, Sunday-Tuesday, FPI/DeLTa/AABI
openreview.net/forum?id=dwF...
arxiv.org/abs/2502.02472
lmk if you want to chat!
1. E-Valuating Classifier Two-Sample Tests, Friday, Hall 3 + Hall 2B #437
2. SDE Matching, Sunday-Tuesday, FPI/DeLTa/AABI
openreview.net/forum?id=dwF...
arxiv.org/abs/2502.02472
lmk if you want to chat!
Reposted by Christian A. Naesseth
New blog post: let's talk about latents!
sander.ai/2025/04/15/l...
sander.ai/2025/04/15/l...
Generative modelling in latent space
Latent representations for generative models.
sander.ai
April 15, 2025 at 9:40 AM
New blog post: let's talk about latents!
sander.ai/2025/04/15/l...
sander.ai/2025/04/15/l...
Reposted by Christian A. Naesseth
Working on probabilistic modeling, inference, and decision-making? Join us at #AABI 2025 if you’re going to Singapore later this month!
Register here (free but spots are limited!): approximateinference.org
Register here (free but spots are limited!): approximateinference.org
Home
approximateinference.org
April 12, 2025 at 9:05 PM
Working on probabilistic modeling, inference, and decision-making? Join us at #AABI 2025 if you’re going to Singapore later this month!
Register here (free but spots are limited!): approximateinference.org
Register here (free but spots are limited!): approximateinference.org
Make sure to get your tickets to AABI if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic modeling, inference, and decision-making!
Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org
#Bayes #MachineLearning #ICLR2025 #AABI2025
Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org
#Bayes #MachineLearning #ICLR2025 #AABI2025
April 13, 2025 at 7:43 AM
Make sure to get your tickets to AABI if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic modeling, inference, and decision-making!
Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org
#Bayes #MachineLearning #ICLR2025 #AABI2025
Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org
#Bayes #MachineLearning #ICLR2025 #AABI2025
Reposted by Christian A. Naesseth
Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)
NeurIPS participation in Europe
We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...
docs.google.com
March 30, 2025 at 6:04 PM
Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)
Don't forget to submit your Fast-Track papers to #AABI2025 today! If you have an accepted paper in machine learning since AABI 2024 present it as a poster.
CfP: approximateinference.org/call/
Looking forward to seeing everyone in Singapore on April 29, just after #ICLR2025!
CfP: approximateinference.org/call/
Looking forward to seeing everyone in Singapore on April 29, just after #ICLR2025!
Call for Papers
approximateinference.org
March 15, 2025 at 7:33 AM
Don't forget to submit your Fast-Track papers to #AABI2025 today! If you have an accepted paper in machine learning since AABI 2024 present it as a poster.
CfP: approximateinference.org/call/
Looking forward to seeing everyone in Singapore on April 29, just after #ICLR2025!
CfP: approximateinference.org/call/
Looking forward to seeing everyone in Singapore on April 29, just after #ICLR2025!
A bit unfortunate that AC_CONF_LIST doesn't include AISTATS or UAI...
The NeurIPS Call for Papers is now live. Abstracts are due May 11th AoE, with full papers due May 15th AoE. neurips.cc/Conferences/...
Please read about key changes to Dataset and Benchmarks submissions this year in our blog post: blog.neurips.cc/2025/03/10/n...
Please read about key changes to Dataset and Benchmarks submissions this year in our blog post: blog.neurips.cc/2025/03/10/n...
NeurIPS 2025 Call for Papers
Submit at: https://openreview.net/group?id=NeurIPS.cc/2025/Conference
neurips.cc
March 10, 2025 at 4:11 PM
A bit unfortunate that AC_CONF_LIST doesn't include AISTATS or UAI...
Reposted by Christian A. Naesseth
I already advertised for this document when I posted it on arXiv, and later when it was published.
This week, with the agreement of the publisher, I uploaded the published version on arXiv.
Less typos, more references and additional sections including PAC-Bayes Bernstein.
arxiv.org/abs/2110.11216
This week, with the agreement of the publisher, I uploaded the published version on arXiv.
Less typos, more references and additional sections including PAC-Bayes Bernstein.
arxiv.org/abs/2110.11216
March 5, 2025 at 1:16 AM
I already advertised for this document when I posted it on arXiv, and later when it was published.
This week, with the agreement of the publisher, I uploaded the published version on arXiv.
Less typos, more references and additional sections including PAC-Bayes Bernstein.
arxiv.org/abs/2110.11216
This week, with the agreement of the publisher, I uploaded the published version on arXiv.
Less typos, more references and additional sections including PAC-Bayes Bernstein.
arxiv.org/abs/2110.11216
This is really interesting! Learning the posterior probability path p(x0 | xt) rather than only the mean is something we suggested in Variational Flow Matching as well, but for a different reason (generating discrete data). Very cool that it can also be used for faster generation.
Better diffusions with scoring rules!
Fewer, larger denoising steps using distributional losses; learn the posterior distribution of clean samples given the noisy versions.
arxiv.org/pdf/2502.02483
@vdebortoli.bsky.social Galashov Guntupalli Zhou @sirbayes.bsky.social @arnauddoucet.bsky.social
Fewer, larger denoising steps using distributional losses; learn the posterior distribution of clean samples given the noisy versions.
arxiv.org/pdf/2502.02483
@vdebortoli.bsky.social Galashov Guntupalli Zhou @sirbayes.bsky.social @arnauddoucet.bsky.social
arxiv.org
February 12, 2025 at 7:49 AM
This is really interesting! Learning the posterior probability path p(x0 | xt) rather than only the mean is something we suggested in Variational Flow Matching as well, but for a different reason (generating discrete data). Very cool that it can also be used for faster generation.
You still have a chance to submit your work to all tracks for AABI. New deadline is February 14 for both Workshop and Proceedings track!
#AABI2025 #ML #ICLR2025 #Stats #Bayes
#AABI2025 #ML #ICLR2025 #Stats #Bayes
Don't forget #AABI, the Symposium on Advances in Approximate Bayesian Inference is coming to Singapore!! Co-located #ICLR2025
Workshop Track: February 7, AoE
Proceedings Track: February 7, AoE
Fast Track: February 18 / March 14, AoE
approximateinference.org/call/
#ML #Bayes #GenAI
Workshop Track: February 7, AoE
Proceedings Track: February 7, AoE
Fast Track: February 18 / March 14, AoE
approximateinference.org/call/
#ML #Bayes #GenAI
Call for Papers
approximateinference.org
February 12, 2025 at 5:39 AM
We have extended the #AABI workshop and proceedings deadlines!
*New deadlines:*
Workshop Track: February 14, AoE
Proceedings Track: February 14, AoE
approximateinference.org/call/
#ProbML #AABI #ICLR #Bayes
*New deadlines:*
Workshop Track: February 14, AoE
Proceedings Track: February 14, AoE
approximateinference.org/call/
#ProbML #AABI #ICLR #Bayes
Call for Papers
approximateinference.org
February 6, 2025 at 5:33 PM
Really excited about this! 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. We refer to this as SDE Matching and show speed improvements of several orders of magnitude.
arxiv.org/abs/2502.02472
arxiv.org/abs/2502.02472
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
The Latent Stochastic Differential Equation (SDE) is a powerful tool for time series and sequence modeling. However, training Latent SDEs typically relies on adjoint sensitivity methods, which depend ...
arxiv.org
February 5, 2025 at 2:38 PM
Really excited about this! 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. We refer to this as SDE Matching and show speed improvements of several orders of magnitude.
arxiv.org/abs/2502.02472
arxiv.org/abs/2502.02472
Reposted by Christian A. Naesseth
Submit your work to the 7th Symposium on Advances in Approximate Bayesian Inference! #AABI
This year, #AABI will be co-located with #ICLR2025!
Workshop Track: February 7, AoE
Proceedings Track: February 7, AoE
Fast Track: February 18 / March 14, AoE
approximateinference.org/call/
This year, #AABI will be co-located with #ICLR2025!
Workshop Track: February 7, AoE
Proceedings Track: February 7, AoE
Fast Track: February 18 / March 14, AoE
approximateinference.org/call/
Call for Papers
approximateinference.org
February 5, 2025 at 4:31 AM
Submit your work to the 7th Symposium on Advances in Approximate Bayesian Inference! #AABI
This year, #AABI will be co-located with #ICLR2025!
Workshop Track: February 7, AoE
Proceedings Track: February 7, AoE
Fast Track: February 18 / March 14, AoE
approximateinference.org/call/
This year, #AABI will be co-located with #ICLR2025!
Workshop Track: February 7, AoE
Proceedings Track: February 7, AoE
Fast Track: February 18 / March 14, AoE
approximateinference.org/call/
Don't forget #AABI, the Symposium on Advances in Approximate Bayesian Inference is coming to Singapore!! Co-located #ICLR2025
Workshop Track: February 7, AoE
Proceedings Track: February 7, AoE
Fast Track: February 18 / March 14, AoE
approximateinference.org/call/
#ML #Bayes #GenAI
Workshop Track: February 7, AoE
Proceedings Track: February 7, AoE
Fast Track: February 18 / March 14, AoE
approximateinference.org/call/
#ML #Bayes #GenAI
Call for Papers
approximateinference.org
February 4, 2025 at 4:20 PM