Sinead Williamson
10 papers · 2010–2026 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Keyword Champion
👥
Mega-Team · Squad
🗃️
Keyword Collector
(58)
💎
Century Club · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Optimization & Theory
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Core AI
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core Methods
(3)
Natural Language Processing
(2)
Application Areas
(2)
Learning Paradigms
(2)
Healthcare & Medicine
(1)
Applications
(1)
Clinical
(1)
Research
(1)
Resources & Methods
(1)
Keywords
bayesian nonparametrics
(4)
markov chain monte carlo
(4)
distributed inference
(2)
latent feature model
(2)
completely random measure
(2)
bayesian inference
(2)
mixture model
(2)
embedding space
(1)
posterior sampling
(1)
dirichlet process
(1)
model analysis
(1)
model interpretability
(1)
cross-lingual alignment
(1)
model robustness
(1)
nonparametric bayesian
(1)
nonparametric statistics
(1)
nonparametric model
(1)
uncertainty quantification
(1)
gaussian process
(1)
hierarchical bayesian
(1)
Papers
Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection
EACL 2026
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
ICML 2025
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
ACL 2025
Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models
ACL 2025
Certifai: A Toolkit for Building Trust in AI Systems
IJCAI 2020
Distributed, partially collapsed MCMC for Bayesian Nonparametrics
AISTATS 2020
A unifying representation for a class of dependent random measures
AISTATS 2013
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
ICML 2013
Slice sampling normalized kernel-weighted completely random measure mixture models
NeurIPS 2012
Dependent Indian Buffet Processes
AISTATS 2010