NeurIPS 2026: 4 accepted papers and 2 workshop papers

The team will present 4 papers at NeurIPS 2026:

• Kerrian Le Caillec, Anna van Elst, Igor Colin, Stephan Clémençon. Decentralized Ranking Aggregation via Gossip: Convergence and Robustness.
• Paul Krzakala, Gabriel Melo, Camille Lançon, Charlotte Laclau, Rémi Flamary, Etienne Thévenot, Florence d’Alché-Buc. MSAlign: Aligning Molecule and Mass Spectra representations for Metabolite Identification.
• Stephan Clémençon and Ekhine Irurozki. Beyond Kemeny Medians: Consensus Ranking Distributions. Definition, Properties and Statistical Learning.
• Gayane Taturyan, Charlotte Laclau, Stephan Clémençon. A Comprehensive View of Fairness through Distributional Stability.

In addition, we will present 2 workshop papers:

• Lilian Marey and Charlotte Laclau. Edge-Girth as a Structural Edge Feature for Graph Neural Networks Workshop on Geometric Distributional Deep Learning.
• Federico Méndez, Paul Krzakala, Gabriel Melo, Charlotte Laclau, Rémi Flamary, Florence d’Alché-Buc. Graph Matching Relaxations and Amortization for Supervised Graph Prediction. Workshop Geometric Distributional Deep Learning.