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Samuel Vaiter

@samuelvaiter.com
3.1K followers 273 following 454 posts

CNRS Researcher website: samuelvaiter.com

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Samuel Vaiter @samuelvaiter.com · 30/07/2026
Mais regarde tout va bien
Une **fausse** photo montrant un tram avec la mention de la gratuité pour le personnels de l'enseignement supérieur
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Samuel Vaiter @samuelvaiter.com · 29/07/2026
Reviewer #2
Official Review by Reviewer wTfF of *The Odysseus* (2026)

Summary: Odysseus is lost and try to find his way during three hours.

Strengths
- The images are crisp.
- The subject is timely.
Weaknesses
- Why does Leslie Groves is in this movie? This does not make sense in term of history, the director should revise antiquity 101.
- Who is Helen? I don't think this is correctly explained. I heard "Paris" but this does not make sense, Paris is a city!
- I think the cyclope eye was not in the right direction.
- At minute 203, the sound was not correctly mixed, which really break the immersion.

Question:
- Could you reframe the movie to portrait mode for better readability?

Rating : 2
Confidence : 5
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Samuel Vaiter @samuelvaiter.com · 20/06/2026
Bienvenue à Nice, ville avec une des plus basses températures de France ! (ps: je recrute potentiellement un.e postdoc sur 24 mois d'ici fin 2026 sur des questions, plutôt théoriques, liées aux LLMs en post-training / alignment, je dis ça, je dis rien)
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Samuel Vaiter @samuelvaiter.com · 15/06/2026
I’m back
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Samuel Vaiter @samuelvaiter.com · 20/03/2026
Our last plenary speaker was Stephane Gaubert on tropical geometry applied to optimization.
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Samuel Vaiter @samuelvaiter.com · 20/03/2026
For the last day, Julie Delon gives an introduction to Flow Matching with the PoV of an applied mathematician.
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Samuel Vaiter @samuelvaiter.com · 19/03/2026
And before our conference dinner, we had the pleasure to hear Yann Brenier with an outreach talk on the role of optimal transport in applied mathematics.
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Samuel Vaiter @samuelvaiter.com · 19/03/2026
The second day started with a brillant plenary talk of @pierreablin.bsky.social on LLM pretraining and some explanations of scaling laws.
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Samuel Vaiter @samuelvaiter.com · 18/03/2026
To end the day, the traditional group photo!
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Samuel Vaiter @samuelvaiter.com · 18/03/2026
This afternoon, we start with Irène Waldspurger on semidefinite optimization
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Samuel Vaiter @samuelvaiter.com · 18/03/2026
We listened this morning to the talk of Francisco Silva Álvarez on mean field games in a packed room!
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Samuel Vaiter @samuelvaiter.com · 17/03/2026
We hosted in Nice @aymericdieuleveut.bsky.social & A. Taylor for the SMAI-MODE 2026 mini-course on Performance Estimation Problems with 9 hours of lectures + practicals in two days All material freely available 👇 performanceestimation.github.io/Tutorial-SMA... Thanks to both of them!
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Samuel Vaiter @samuelvaiter.com · 09/03/2026
We validate everything empirically on 11 models (GPT-2, Gemma 3, Qwen 3, Llama 2, Mistral 7B) across 8 safety-related concepts. All our theorems are confirmed experimentally. 6/7
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Samuel Vaiter @samuelvaiter.com · 09/03/2026
Result 3: Steering always hurts global performance. Cross-entropy increases quadratically around α = 0, i.e., there's no free lunch. For large α, performance plateaus because the output becomes input-independent. 5/7
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Samuel Vaiter @samuelvaiter.com · 09/03/2026
Result 2: Concept probability follows a sigmoidal curve. The probability that the target concept appears in the output increases smoothly with α, following a tanh shape. Off-target concepts decrease or vanish. 4/7
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Samuel Vaiter @samuelvaiter.com · 09/03/2026
Result 1: Next-token probabilities have a bump shape. As α increases, most token probabilities rise, peak for α>0, then fall. In particular, off-target tokens peak _before_ target tokens. 3/7
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Samuel Vaiter @samuelvaiter.com · 09/03/2026
Take contrastive prompts (for ex, safe vs malicious), evaluate them through the model, compute the mean difference of representations  at layer ℓ. That's your steering vector v. Then shift activations by αv at layer ℓ. Question: what does α actually do? 2/7
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Samuel Vaiter @samuelvaiter.com · 09/03/2026
🧵 New preprint! Towards Understanding Steering Strength w/ M. Taimeskhanov and D. Garreau Activation steering is a popular way to control LLM behavior at inference. But how much should you steer? We provide the first theoretical analysis of the steering strength α. 📄 arxiv.org/abs/2602.02712 1/7
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Samuel Vaiter @samuelvaiter.com · 22/01/2026
Vu que le chauffage est visiblement un détail, on trouve des alternatives. Startup-nation 🤘
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Samuel Vaiter @samuelvaiter.com · 15/12/2025
Les inscriptions aux journées MODE 2026 à Nice sont désormais ouvertes. Elles se dérouleront du 18 au 20 mars à l'Hôtel Saint-Paul. Les inscriptions sont ouvertes jusqu'au 1 mars (majoration > 9/02). La deadline pour soumettre une communication est le **15 janvier**.
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Samuel Vaiter @samuelvaiter.com · 03/12/2025
I am at #NeurIPS2025, reach out if you want to chat!
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers. R. Kawata · Y. Song · A. Bietti · N. Nishikawa · T. Suzuki · SV · D. Wu. Wed, Dec 3, 2025 • 4:30 PM – 7:30 PM PST, #4001 (spotlight)

Differentiable Generalized Sliced Wasserstein Plans. L. Chapel · R. Tavenard · SV. Fri, Dec 5, 2025 • 11:00 AM – 2:00 PM PST, #1000

Learning Theory for Kernel Bilevel Optimization. F. El Khoury · E. Pauwels · SV · M. Arbel. Fri, Dec 5, 2025 • 4:30 PM – 7:30 PM PST, #3005
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Samuel Vaiter @samuelvaiter.com · 15/08/2025
20 years later I still love this city!
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Samuel Vaiter @samuelvaiter.com · 09/07/2025
Congratulations to Dr. Sophie Jaffard @sophiejaffard.bsky.social for a brillant PhD defense! We were very lucky with Patricia to have you as a PhD student, and I am sure that you will have a brillant career ahead.
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Samuel Vaiter @samuelvaiter.com · 17/06/2025
I am sure that the number of faculty follows the same curve /s
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Samuel Vaiter @samuelvaiter.com · 16/06/2025
Ma matinée
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Samuel Vaiter @samuelvaiter.com · 12/06/2025
We're good
The proof given in Appendix B.1 (pages 30–31) for Proposition 6 is clean and—upon careful inspection—entirely correct. In particular:
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Samuel Vaiter @samuelvaiter.com · 11/06/2025
Do you know the power of CHANI? arxiv.org/abs/2405.18828
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Samuel Vaiter @samuelvaiter.com · 02/06/2025
Even more striking, DGSWP leads to a sliced-OT based Conditional Flow Matching method with state-of-the-art results. On CIFAR-10, we show practical improvements in terms of FID wrt to I-CFM, OT-CFM and we show the practical effect of the increased expressivity of the NN-based DGSWP. 5/5
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Samuel Vaiter @samuelvaiter.com · 02/06/2025
The method is competitive on gradient flow tasks using either linear projection as in minSWGG, but also neural networks. We can use DGSWP either on Euclidean spaces or hyperbolic ones. 4/5
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Samuel Vaiter @samuelvaiter.com · 02/06/2025
We show that thanks to Stein's lemma, it admits a nice differentiable approximation DGSWP, our estimator of interest. In particular, it is consistent with the original estimator, and and it yields a distance on the space of measures. 3/5
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Samuel Vaiter @samuelvaiter.com · 02/06/2025
A slicing scheme (min-SWGG) lifts a single 1D plan back to the original multidimensional space, selecting the slice that yields the lowest Wasserstein distance as an approximation of the full OT plan. Here, we reformulate min-SWGG as a bilevel optimization 2/5
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Samuel Vaiter @samuelvaiter.com · 02/06/2025
📣 New preprint 📣 **Differentiable Generalized Sliced Wasserstein Plans** w/ L. Chapel @rtavenar.bsky.social We propose a Generalized Sliced Wasserstein method that provides an approximated transport plan and which admits a differentiable approximation. arxiv.org/abs/2505.22049 1/5
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Samuel Vaiter @samuelvaiter.com · 09/05/2025
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Samuel Vaiter @samuelvaiter.com · 07/05/2025
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Samuel Vaiter @samuelvaiter.com · 07/05/2025
Convolution theorem: Fourier transform of the convolution of two functions (under suitable assumptions) is the product of the Fourier transforms of these two functions. buff.ly/aOamDMF
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Samuel Vaiter @samuelvaiter.com · 06/05/2025
Dual numbers correspond to the completion of the real line with an nilpotent element ε different from 0. It can be thought as a universal linearization of functions, or as the forward-mode of automatic differentiation. buff.ly/vahZ0Fk
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Samuel Vaiter @samuelvaiter.com · 05/05/2025
Convergence of iterates does not imply convergence of the derivatives. Nevertheless, Gilbert (1994) proposed an interversion limit-derivative theorem under strong assumption on the spectrum of the derivatives. buff.ly/MhK7qiI
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Samuel Vaiter @samuelvaiter.com · 02/05/2025
Leader-follower games, also known as Stackelberg games, are models in game theory where one player (the leader) makes a decision first, and the other player (the follower) responds, considering the leader’s action. This is one the first instance of bilevel optimization.
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Samuel Vaiter @samuelvaiter.com · 01/05/2025
The Matrix Mortality Problem asks if a given set of square matrices can multiply to the zero matrix after a finite sequence of multiplications of elements. It is is undecidable for matrices of size 3x3 or larger. buff.ly/lLmvvlo
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Samuel Vaiter @samuelvaiter.com · 30/04/2025
The SAT problem asks whether a logical formula, composed of variables and (AND, OR, NOT), can be satisfied by assigning True to the variables. SAT is NP-complete along with 3-SAT, with clauses of three literals, while 2-SAT, is in P! buff.ly/mMLGbw4
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Samuel Vaiter @samuelvaiter.com · 29/04/2025
The Krein-Milman theorem states that any compact convex subset of a locally convex topological vector space is the closed convex hull of its extreme points. In particular, the set of extreme points of a nonempty compact convex set is nonempty. buff.ly/6aYS8ox
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Samuel Vaiter @samuelvaiter.com · 28/04/2025
The Stone-Weierstrass theorem states that any continuous function on a compact Hausdorff space can be uniformly approximated by elements of a subalgebra, provided the subalgebra separates points and contains constants. buff.ly/MbZOAG0
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Samuel Vaiter @samuelvaiter.com · 25/04/2025
The Nesterov Accelerated Gradient (NAG) algorithm refines gradient descent by using an extrapolation step before computing the gradient. It leads to faster convergence for smooth convex functions, achieving the optimal rate of O(1/k^2). www.mathnet.ru/links/ceedfb...
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Samuel Vaiter @samuelvaiter.com · 24/04/2025
The pinhole camera model illustrates the concept of projective projection. Light rays from a 3D scene pass through an (infinitely) small aperture — the pinhole — and project onto a 2D surface, creating an inverted image on the focal plan. monoskop.org/images/f/ff/...
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Samuel Vaiter @samuelvaiter.com · 23/04/2025
Łojasiewicz inequality provides a way to control how close points are to the zeros of a real analytic function based on the value of the function itself. Extension of this result to semialgebraic or o-minimal functions exist. matwbn.icm.edu.pl/ksiazki/sm/s...
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Samuel Vaiter @samuelvaiter.com · 22/04/2025
The fast inverse square root trick from Quake III is an algorithm to quickly approximate 1/√x, crucial for 3D graphics (normalisation). It uses bit-level manipulation and Newton's method for refinement. web.archive.org/web/20170729...
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Samuel Vaiter @samuelvaiter.com · 21/04/2025
A Monge map, i.e., a solution to optimal transport Monge problems, may not always exist, be unique, or be symmetric with respect to the source and target distributions. It was one of the motivation to introduce Kantorovich relaxation. math.univ-lyon1.fr/~santambrogi...
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Samuel Vaiter @samuelvaiter.com · 18/04/2025
Attouch’ theorem relates the (epi-) convergence of convex lsc functions to the convergence of their subdifferential seen as graph on the product between the space and its dual. gallica.bnf.fr/ark:/12148/b...
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Samuel Vaiter @samuelvaiter.com · 17/04/2025
Brenier's theorem states that the optimal transport map between two probability measures for quadratic cost is the gradient of a convex function. Moreover, it is uniquely defined up to a Lebesgue negligible set. www.ceremade.dauphine.fr/~carlier/Bre...
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Samuel Vaiter @samuelvaiter.com · 16/04/2025
The Weierstrass function is a famous example of a continuous function that is nowhere differentiable. It defies intuition by being continuous everywhere but having no tangent at any point. Introduced by Karl Weierstrass in 1872.
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