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
📜 Monitoring Risks in Test-Time Adaptation
(ICML PUT Workshop Oral!)
Time: Fri 18 Jul 10 a.m. PDT
Location: West Meeting Room 220-222
Presenter: @monaschir.bsky.social
arxiv.org/abs/2507.08721
(ICML PUT Workshop Oral!)
Time: Fri 18 Jul 10 a.m. PDT
Location: West Meeting Room 220-222
Presenter: @monaschir.bsky.social
arxiv.org/abs/2507.08721
Monitoring Risks in Test-Time Adaptation
Encountering shifted data at test time is a ubiquitous challenge when deploying predictive models. Test-time adaptation (TTA) methods address this issue by continuously adapting a deployed model using...
arxiv.org
July 16, 2025 at 9:29 AM
📜 Monitoring Risks in Test-Time Adaptation
(ICML PUT Workshop Oral!)
Time: Fri 18 Jul 10 a.m. PDT
Location: West Meeting Room 220-222
Presenter: @monaschir.bsky.social
arxiv.org/abs/2507.08721
(ICML PUT Workshop Oral!)
Time: Fri 18 Jul 10 a.m. PDT
Location: West Meeting Room 220-222
Presenter: @monaschir.bsky.social
arxiv.org/abs/2507.08721
📜 Controlled Generation with Equivariant Variational Flow Matching
Time: Wed 16 Jul 11 a.m. PDT — 1:30 p.m. PDT
Location: East Exhibition Hall A-B #E-3309
Presenter: @eijkelboomfloor.bsky.social
arxiv.org/abs/2506.18340
Time: Wed 16 Jul 11 a.m. PDT — 1:30 p.m. PDT
Location: East Exhibition Hall A-B #E-3309
Presenter: @eijkelboomfloor.bsky.social
arxiv.org/abs/2506.18340
Controlled Generation with Equivariant Variational Flow Matching
We derive a controlled generation objective within the framework of Variational Flow Matching (VFM), which casts flow matching as a variational inference problem. We demonstrate that controlled genera...
arxiv.org
July 16, 2025 at 9:29 AM
📜 Controlled Generation with Equivariant Variational Flow Matching
Time: Wed 16 Jul 11 a.m. PDT — 1:30 p.m. PDT
Location: East Exhibition Hall A-B #E-3309
Presenter: @eijkelboomfloor.bsky.social
arxiv.org/abs/2506.18340
Time: Wed 16 Jul 11 a.m. PDT — 1:30 p.m. PDT
Location: East Exhibition Hall A-B #E-3309
Presenter: @eijkelboomfloor.bsky.social
arxiv.org/abs/2506.18340
📜 SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Time: Thu 17 Jul 11 a.m. PDT — 1:30 p.m. PDT
Location: East Exhibition Hall A-B #E-2412
Presenter: @gbarto.bsky.social
arxiv.org/abs/2502.02472
Time: Thu 17 Jul 11 a.m. PDT — 1:30 p.m. PDT
Location: East Exhibition Hall A-B #E-2412
Presenter: @gbarto.bsky.social
arxiv.org/abs/2502.02472
https://arxiv.org/abs/2502.02472
t.co
July 16, 2025 at 9:29 AM
📜 SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Time: Thu 17 Jul 11 a.m. PDT — 1:30 p.m. PDT
Location: East Exhibition Hall A-B #E-2412
Presenter: @gbarto.bsky.social
arxiv.org/abs/2502.02472
Time: Thu 17 Jul 11 a.m. PDT — 1:30 p.m. PDT
Location: East Exhibition Hall A-B #E-2412
Presenter: @gbarto.bsky.social
arxiv.org/abs/2502.02472
Tomorrow, Tuesday (July 1st) from 4pm to 5pm (UK time).
“SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations" (arxiv.org/abs/2502.02472) 🚀
Join via Zoom 🔥
t.co/N1C3UFukxd
“SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations" (arxiv.org/abs/2502.02472) 🚀
Join via Zoom 🔥
t.co/N1C3UFukxd
https://us05web.zoom.us/j/7780256206?pwd=flsq8weBOvaZgAsr3ThNiHq9d1mXMS.1&omn=89044077993
t.co
June 30, 2025 at 10:40 AM
Tomorrow, Tuesday (July 1st) from 4pm to 5pm (UK time).
“SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations" (arxiv.org/abs/2502.02472) 🚀
Join via Zoom 🔥
t.co/N1C3UFukxd
“SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations" (arxiv.org/abs/2502.02472) 🚀
Join via Zoom 🔥
t.co/N1C3UFukxd
Oh, rip, the camera-ready PDF on Open Review is only "privately revealed". Sorry about that :(
proceedings.mlr.press/v258/chen25f...
proceedings.mlr.press/v258/timans2...
proceedings.mlr.press/v258/chen25f...
proceedings.mlr.press/v258/timans2...
May 3, 2025 at 10:19 PM
Oh, rip, the camera-ready PDF on Open Review is only "privately revealed". Sorry about that :(
proceedings.mlr.press/v258/chen25f...
proceedings.mlr.press/v258/timans2...
proceedings.mlr.press/v258/chen25f...
proceedings.mlr.press/v258/timans2...
openreview.net/forum?id=1Yi...
openreview.net/forum?id=29c...
Check out the papers and/or the posters tomorrow (Sunday)!
#Statistics #SMC #ConformalPrediction #Testing #ML #Bayes
openreview.net/forum?id=29c...
Check out the papers and/or the posters tomorrow (Sunday)!
#Statistics #SMC #ConformalPrediction #Testing #ML #Bayes
Max-Rank: Efficient Multiple Testing for Conformal Prediction
Multiple hypothesis testing (MHT) frequently arises in scientific inquiries, and concurrent testing of multiple hypotheses inflates the risk of Type-I errors or false positives, rendering MHT...
openreview.net
May 3, 2025 at 1:37 AM
openreview.net/forum?id=1Yi...
openreview.net/forum?id=29c...
Check out the papers and/or the posters tomorrow (Sunday)!
#Statistics #SMC #ConformalPrediction #Testing #ML #Bayes
openreview.net/forum?id=29c...
Check out the papers and/or the posters tomorrow (Sunday)!
#Statistics #SMC #ConformalPrediction #Testing #ML #Bayes
Thanks Pierre! Was great meeting in person as well :)
April 30, 2025 at 4:31 AM
Thanks Pierre! Was great meeting in person as well :)
Paper: arxiv.org/abs/2502.02472
FPI workshop: sites.google.com/view/fpiwork...
DeLTa workshop: delta-workshop.github.io
Joint work with my PhD student
@gbarto.bsky.social and our collaborator Dmitry Vetrov.
FPI workshop: sites.google.com/view/fpiwork...
DeLTa workshop: delta-workshop.github.io
Joint work with my PhD student
@gbarto.bsky.social and our collaborator Dmitry Vetrov.
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
April 27, 2025 at 11:27 PM
Paper: arxiv.org/abs/2502.02472
FPI workshop: sites.google.com/view/fpiwork...
DeLTa workshop: delta-workshop.github.io
Joint work with my PhD student
@gbarto.bsky.social and our collaborator Dmitry Vetrov.
FPI workshop: sites.google.com/view/fpiwork...
DeLTa workshop: delta-workshop.github.io
Joint work with my PhD student
@gbarto.bsky.social and our collaborator Dmitry Vetrov.
I'm not sure I followed this comment as I understood your earlier comment about disliking mandatory cites as leaning towards allowing more author discretion? But I understood this comment like an argument for less author discretion?
April 13, 2025 at 4:11 PM
I'm not sure I followed this comment as I understood your earlier comment about disliking mandatory cites as leaning towards allowing more author discretion? But I understood this comment like an argument for less author discretion?
However, if you cite something that you think is actively bad/wrong I think that it is perfectly fine to argue that point in the related work/discussion section, or perhaps in an extended part of it in the supplementary/appendix.
April 13, 2025 at 3:50 PM
However, if you cite something that you think is actively bad/wrong I think that it is perfectly fine to argue that point in the related work/discussion section, or perhaps in an extended part of it in the supplementary/appendix.
Ah, I see. Perhaps I then misunderstood your comment about being opinionated about what is worth citing.
As I mentioned, my comment wasn't about this specific case as it is from my understanding quite a bit more complex than what was available on OpenReview.
As I mentioned, my comment wasn't about this specific case as it is from my understanding quite a bit more complex than what was available on OpenReview.
April 13, 2025 at 3:50 PM
Ah, I see. Perhaps I then misunderstood your comment about being opinionated about what is worth citing.
As I mentioned, my comment wasn't about this specific case as it is from my understanding quite a bit more complex than what was available on OpenReview.
As I mentioned, my comment wasn't about this specific case as it is from my understanding quite a bit more complex than what was available on OpenReview.
Just to be extra clear, my comment was not (and is not) a comment about this specific case.
My comment was about whether it is ok in general to not cite relevant work because an author dislikes it and therefore doesn't think it is worth citing.
Of course relevance is to some degree subjective.
My comment was about whether it is ok in general to not cite relevant work because an author dislikes it and therefore doesn't think it is worth citing.
Of course relevance is to some degree subjective.
April 13, 2025 at 3:45 PM
Just to be extra clear, my comment was not (and is not) a comment about this specific case.
My comment was about whether it is ok in general to not cite relevant work because an author dislikes it and therefore doesn't think it is worth citing.
Of course relevance is to some degree subjective.
My comment was about whether it is ok in general to not cite relevant work because an author dislikes it and therefore doesn't think it is worth citing.
Of course relevance is to some degree subjective.