Good Papers

Showing papers from CISPA Helmholtz Show all papers

45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026CISPA Helmholtz Center for InforCISPA HelmholtzTime series classification & imputation

Causal Discovery under Time-Varying Delays

Lénaïg Cornanguer, David Kaltenpoth, Jilles Vreeken

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

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026SaarlandSaarland University, SaarbrückenCISPA HelmholtzExplainable AI

What Comes Next and Why: Interpretable Next-Event Prediction with Neuro-Symbolic Rules

Tim Nico Bauerschmidt, Isabel Valera, Jilles Vreeken

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

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026CISPA Helmholtz Center for InforCISPA HelmholtzExplainable AI

Root Cause Analysis of Measurement and Mechanistic Anomalies

A causal model distinguishes measurement errors from mechanism shifts via latent interventions, enabling robust root-cause localization and anomaly-type classification.

Hendrik Suhr, David Kaltenpoth, Jilles Vreeken

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

– ReadersNo votes yet
10/20 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: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5