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Deniz Akyildiz

@odakyildiz.bsky.social
27 followers 35 following 14 posts

assoc prof of stats at Imperial College London odakyildiz.com

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Deniz Akyildiz @odakyildiz.bsky.social · 24/09/2026
Happy to announce yet another workshop on Gradient Flows -- register when it is still available :-) gradientflows.com
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Warwick Statistics @warwickstats.bsky.social · 28/08/2026
📣 We are recruiting! A 26-month postdoctoral position at Warwick as part of the “Probabilistic Artificial Intelligence” hub on the mathematical foundations of AI. 🔗 Further details available here: warwick-careers.tal.... Closing date: Sunday 6th September 2026 at 11:55pm (UK Time)
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Deniz Akyildiz @odakyildiz.bsky.social · 01/08/2026
On the bright side, my real-world aspirations only now started to look remotely possible bsky.app/profile/grac...
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Grace @gracekind.net · 31/07/2026
You will live to see your greatest intellectual aspirations dismissed as trivial
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F. Javier Rubio @fjrubio.bsky.social · 28/06/2026
“Springer about to hijack Statistics & Computing” xianblog.wordpress.com/2026/06/28/s...
xianblog.wordpress.com
Springer about to hijack Statistics & Computing
I recently learned that Springer Nature is about to make the reference journal Statistics and Computing, where I published close to twenty papers over the years, fully “open access”, wh…
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Deniz Akyildiz @odakyildiz.bsky.social · 12/04/2026
Right, I was looking for the high-res image. Maybe I'll contact him!
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Deniz Akyildiz @odakyildiz.bsky.social · 12/04/2026
Now I'd like to order that stuff on the wall too... How did you go about it? :-)
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Deniz Akyildiz @odakyildiz.bsky.social · 05/02/2026
We are recruiting for two roles at Imperial College London (Department of Mathematics) to join the PRISM (Probabilistic Rare-event Inference for Safety of Models) project: www.linkedin.com/posts/andrew...
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Deniz Akyildiz @odakyildiz.bsky.social · 14/12/2025
They must ban 20 mins talks... Impossible
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Adam Johansen @adamjohansen.bsky.social · 14/11/2025
Two assistant prof. vacancies at Warwick Statistics: warwick-careers.tal.net/vx/appcentre... (deadline 25 January 2025 at 11:55pm). CSML applications very welcome!
warwick-careers.tal.net
Assistant Professor x2 (104176-1125) - University of Warwick
Title: Assistant Professor x2 (104176-1125). Application Deadline: . Position Type: Permanent
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Department of Mathematics @imperialmaths.bsky.social · 09/10/2025
Applications are invited for Chapman Fellow in Mathematics (Statistics Section) at the Department of Mathematics. Closing date: 11 November 2025 www.imperial.ac.uk/jobs//search...
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Robin Ryder @robinryder.bsky.social · 01/10/2025
We are hiring! We are inviting applications for the Chapman Fellowship in Statistics at Imperial College London. This is a kind of super-postdoc: 3 years contract, excellent working conditions, and candidates are expected to propose an independent research plan. www.imperial.ac.uk/jobs//search...
imperial.ac.uk
Imperial College London Authentication - Stale Request
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uai2026 @auai.org · 28/07/2025
congratulations to Paula Cordero Encinar, Francesca Romana Crucinio and O. Deniz Akyildiz (@odakyildiz.bsky.social‬) for winning the 🏆 Best Student Paper Award 🏆 at #UAI2025 with "Proximal Interacting Particle Langevin Algorithms" 👉 openreview.net/forum?id=rTq...
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Alex Thiery @alexxthiery.bsky.social · 13/06/2025
Here's how the gradient flow for minimizing KL(pi, target) looks under the Fisher-Rao metric. I thought some probability mass would be disappearing on the left and appearing on the right (i.e. teleportation), like a geodesic under the same metric, but I was very wrong... What's the right intuition?
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Adam Johansen @adamjohansen.bsky.social · 23/05/2025
If anyone missed the RSS Gradient Flow workshop back in March, videos are now available...
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Deniz Akyildiz @odakyildiz.bsky.social · 23/05/2025
Late - but better than never.... www.youtube.com/watch?v=QrPy...
youtube.com
2nd RSS/Turing Workshop on Gradient Flows for Sampling, Inference, and Learning
YouTube video by RoyalStatSoc
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arxiv stat.ML @arxiv-stat-ml.bsky.social · 20/05/2025
Tim Y. J. Wang, Juan Kuntz, O. Deniz Akyildiz Training Latent Diffusion Models with Interacting Particle Algorithms arxiv.org/abs/2505.12412
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Deniz Akyildiz @odakyildiz.bsky.social · 10/03/2025
Hi, many thanks for interest. It is a bit late to arrange for online registration - but I will investigate if we can record the talks. I'll keep you posted about this if we could do it - so it could be made online later.
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Adam Johansen @adamjohansen.bsky.social · 07/03/2025
This afternoon I was privileged to examine Alex Glyn-Davies, who produced a great thesis on aspects of physics-informed inference for DE models (arxiv.org/abs/2209.15609, arxiv.org/abs/2409.07101 and arxiv.org/abs/2409.06560) and some anomaly detection for good measure doi.org/10.1016/j.pa....
arxiv.org
$Φ$-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation
Incorporating unstructured data into physical models is a challenging problem that is emerging in data assimilation. Traditional approaches focus on well-defined observation operators whose functional...
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Adam Johansen @adamjohansen.bsky.social · 03/03/2025
If anyone is thinking of registering for this, I understand that there are still some spaces available, but the room this event is taking place in has a limited capacity which is likely to be reached... so to avoid disappointment it would be safer to register sooner rather than later ;-).
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Deniz Akyildiz @odakyildiz.bsky.social · 28/02/2025
Luca (Martino) once told me (when I said "MCMC does not have weights") that this is incorrect (in his Sicilian style): When you reject in MCMC, you increase the weight of the current sample. Chains do have replicates, can be written like a weighted sample. High rejection rate *is* weight degeneracy.
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Deniz Akyildiz @odakyildiz.bsky.social · 27/02/2025
this warms my heart as a telecom engineer :)
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Deniz Akyildiz @odakyildiz.bsky.social · 25/02/2025
Very happy to announce the 2nd RSS/Turing Workshop on Gradient Flows for Sampling, Inference, and Learning to take place on 24th of March, 2025! Registration is open now: tinyurl.com/rss-turing-g... Please see the webpage for topics and speakers. Hope to see you all there!
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Deniz Akyildiz @odakyildiz.bsky.social · 12/02/2025
Correct at the moment we have not set up an online registration option...
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Adam Johansen @adamjohansen.bsky.social · 08/02/2025
Registration is now open for the 2nd RSS/Turing Workshop on Gradient Flows for Sampling, Inference, and Learning at rss.org.uk/training-eve.... Date: Monday 24 March 2025, 10.00AM - 5.00PM Location: The Alan Turing Institute
rss.org.uk
2nd RSS/Turing Workshop on Gradient Flows for Sampling, Inference, and Learning
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Gabriel Peyré @gabrielpeyre.bsky.social · 29/01/2025
This review paper by @guillaume-garrigos.com on SGD-related algorithms is a fantastic resource, offering elegant, self-contained, and concise proofs in a single, accessible reference. arxiv.org/pdf/2301.11235
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arxiv stat.ML @arxiv-stat-ml.bsky.social · 25/12/2024
O. Deniz Akyildiz, Pierre Del Moral, Joaqu\'in Miguez Gaussian entropic optimal transport: Schr\"odinger bridges and the Sinkhorn algorithm arxiv.org/abs/2412.18432
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Deniz Akyildiz @odakyildiz.bsky.social · 09/12/2024
Indeed, this is a great question. In the averaging setting, this seems to help at various stages of the proof - but I think, in the settings I think of (where slow and fast system has the same drift), one should be able to get away with usual conditions to prove similar stuff...
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Sam Power @spmontecarlo.bsky.social · 09/12/2024
Splendid stuff; very digestible and usable: arxiv.org/abs/2412.05239 'Conditions for uniform in time convergence: applications to averaging, numerical discretisations, and mean-field systems' - Katharina Schuh, Iain Souttar
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Deniz Akyildiz @odakyildiz.bsky.social · 09/12/2024
Great stuff indeed
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