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Showing papers from Max-Planck Institute Show all papers

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Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning

Manshika C Bissessur, Melis Ilayda Bal, Michael Muehlebach

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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2/20 AI panelreviewers recommend it

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lenient 1/5
medium 1/10
strict 0/5
83%Must read
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The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions

A framework samples coherent but cognitively unavailable "alien" research directions by maximizing idea coherence while minimizing existing community availability, broadening explored vocabularies 3.5-7x over LLM baselines.

Alejandro H. Artiles, Martin Weiss, Levin Brinkmann, Iyad Rahwan and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
78%Highly rated
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PENEX: AdaBoost-Inspired Neural Network Regularization

PENEX introduces a multi-class exponential loss optimized via first-order methods that increases margins and improves neural network generalization in low-data regimes.

Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5