Good Papers

Showing papers from Télecom Paris Show all papers

57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Institut PolytechniqueInstitut Polytechnique de ParisTélecom ParisÉcole Polytechnique, Institut PoCEAMolecules & drug discovery

MSAlign: Aligning Molecular and Mass Spectra Foundation Models for Metabolite Identification

Paul Krzakala, Gabriel Melo, Camille Lançon, Charlotte Laclau and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
78%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026Télécom ParisTélecom ParisTelecom ParisFairness & bias

A Comprehensive View of Fairness through Distributional Stability

Reframing fairness as distributional stability under protected-group shifts unifies classical fairness notions via Lipschitz constants and yields a second-order cone program with uniform test-time guarantees.

Gayane Taturyan, Charlotte Laclau, Stephan Clémençon

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5