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NeurIPS 2026Université Paris CitéUniversité de ParisUniversity Paris-SaclayU CopenhagenGraph generation

A Topological Sorting Criterion for Random Causal Directed Acyclic Graphs

In randomly ordered DAGs, relative counts increase monotonically along causal order, enabling recovery via sorting and yielding singular equivalence classes.

Alexander Reisach, Antoine Chambaz, Gilles Blanchard, Sebastian Weichwald

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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lenient 3/5
medium 5/10
strict 1/5
72%Highly rated
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NeurIPS 2026Université Paris CitéImperial College LondonHeriot-WattDiffusion models

Consistency Regularised Gradient Flows for Inverse Problems

A Euclidean-Wasserstein-2 gradient-flow framework unifies posterior sampling and prompt optimization for low-NFE inverse problem solving using vision-language diffusion priors without backpropagating through autoencoders.

Alessio Spagnoletti, Tim Wang, O. Deniz Akyildiz, Marcelo Pereyra

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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lenient 3/5
medium 5/10
strict 0/5
80%Must read
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NeurIPS 2026Flatiron InstitutePrincetonUniversité Paris CitéOptimization

Muon Does Not Converge on Convex Lipschitz Functions

Muon fails to converge on convex Lipschitz functions under any learning rate schedule, though error feedback restores convergence yet harms practical performance. Convex Lipschitz theory therefore poorly explains Muon's practical success, which likely relies on smoothness.

Tetiana Parshakova, Ahmed Khaled, Michael Crawshaw, Guillaume Garrigos and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 2/5