conftrace_

Daniel Bethell

2 papers · 2024–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AAAI (1) UAI (1)

Top co-authors

Simos Gerasimou (2) Charmaine Barker (1) Radu Calinescu (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Core AI (2) Machine Learning (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

uncertainty quantification (2) model misspecification (1) curriculum learning (1) prediction set (1) prediction interval (1) out-of-distribution detection (1) evidential learning (1) distributional shift (1) monte carlo dropout (1) conformal prediction (1) adversarial attack detection (1)

Papers

Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification UAI 2026 Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024