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Showing papers from CuspAI / University of Amsterdam Show all papers

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NeurIPS 2026SpotlightInstitute of Science and TechnolCuspAI / University of AmsterdamISTACausal inference

Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models

Hamiltonian Causal Models separate equations of motion from intervenable mechanisms and define causal effects as interventional path discrepancies, showing entropy production witnesses trajectory-level causal effects invisible to standard average treatment effects.

Dario Rancati, Max Welling, Francesco Locatello

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 4/10
strict 0/5
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NeurIPS 2026U AmsterdamCuspAI / University of AmsterdamDiffusion models

Kernel-Gradient Drifting Models

Kernel-gradient drifting replaces Euclidean drift with kernel-induced directions, yielding identifiable one-step generative models extending to manifolds and discrete data via Fisher-Rao geometry.

Maria Esteban-Casadevall, Jorge Carrasco-Pollo, Max Welling, Jan-Willem van de Meent and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 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 3/5
medium 8/10
strict 1/5