Sinead Williamson

37 papers A* 5A 5Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Reasoning's Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection. EACL (Volume 1: Long Papers) Atoosa Malemir Chegini, Hamid Kazemi, Garrett Souza, Maria Safi, Yang Song, Samy Bengio, Sinead Williamson, Mehrdad Farajtabar
2025	J	`jnl`	Analyze the Neurons, not the Embeddings: Understanding When and Where LLM Representations Align with Humans. CoRR Masha Fedzechkina, Eleonora Gualdoni, Sinead Williamson, Katherine Metcalf, Skyler Seto, Barry-John Theobald
2025	J	`jnl`	BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design. CoRR Deepro Choudhury, Sinead Williamson, Adam Golinski, Ning Miao, Freddie Bickford Smith, Michael Kirchhof, Yizhe Zhang, Tom Rainforth
2025	A*	`conf`	Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions. ICML Eray Erturk, Fahad Kamran, Salar Abbaspourazad, Sean Jewell, Harsh Sharma, Yujie Li, Sinead Williamson, Nicholas J. Foti, Joseph Futoma
2025	J	`jnl`	Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions. CoRR Eray Erturk, Fahad Kamran, Salar Abbaspourazad, Sean Jewell, Harsh Sharma, Yujie Li, Sinead Williamson, Nicholas J. Foti, Joseph Futoma
2025	J	`jnl`	CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning. CoRR Jie He, Richard He Bai, Sinead Williamson, Jeff Z. Pan, Navdeep Jaitly, Yizhe Zhang
2025	J	`jnl`	Reasoning's Razor: Reasoning Improves Accuracy but Can Hurt Recall at Critical Operating Points in Safety and Hallucination Detection. CoRR Atoosa Malemir Chegini, Hamid Kazemi, Garrett Souza, Maria Safi, Yang Song, Samy Bengio, Sinead Williamson, Mehrdad Farajtabar
2025	—	`conf`	Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. ACL (2) Andrea Santilli, Adam Golinski, Michael Kirchhof, Federico Danieli, Arno Blaas, Miao Xiong, Luca Zappella, Sinead Williamson
2025	J	`jnl`	Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. CoRR Andrea Santilli, Adam Golinski, Michael Kirchhof, Federico Danieli, Arno Blaas, Miao Xiong, Luca Zappella, Sinead Williamson
2025	J	`jnl`	Self-Supervised Learning with Gaussian Processes. CoRR Yunshan Duan, Sinead Williamson
2025	J	`jnl`	Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution? CoRR Michael Kirchhof, Luca Füger, Adam Golinski, Eeshan Gunesh Dhekane, Arno Blaas, Sinead Williamson
2025	—	`conf`	Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models. ACL (1) Anirudh Sundar, Sinead Williamson, Katherine Metcalf, Barry-John Theobald, Skyler Seto, Masha Fedzechkina
2025	J	`jnl`	Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models. CoRR Anirudh Sundar, Sinead Williamson, Katherine Metcalf, Barry-John Theobald, Skyler Seto, Masha Fedzechkina
2025	J	`jnl`	To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models. CoRR Eran Malach, Omid Saremi, Sinead Williamson, Arwen Bradley, Aryo Lotfi, Emmanuel Abbe, Joshua M. Susskind, Etai Littwin
2025	J	`jnl`	Trace Length is a Simple Uncertainty Signal in Reasoning Models. CoRR Siddartha Devic, Charlotte Peale, Arwen Bradley, Sinead Williamson, Preetum Nakkiran, Aravind Gollakota
2025	J	`jnl`	Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs. CoRR Preetum Nakkiran, Arwen Bradley, Adam Golinski, Eugène Ndiaye, Michael Kirchhof, Sinead Williamson
2024	J	`jnl`	Posterior Uncertainty Quantification in Neural Networks using Data Augmentation. CoRR Luhuan Wu, Sinead Williamson
2023	J	`jnl`	Bootstrap Your Own Variance. CoRR Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb
2022	J	`jnl`	Federating recommendations using differentially private prototypes. Pattern Recognit. Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
2022	J	`jnl`	SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework. CoRR Reza Namazi, Elahe Ghalebi, Sinead Williamson, Hamidreza Mahyar
2020	A*	`conf`	Certifai: A Toolkit for Building Trust in AI Systems. IJCAI Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh
2020	J	`jnl`	Differentially Private Median Forests for Regression and Classification. CoRR Shorya Consul, Sinead Williamson
2020	A	`conf`	Distributed, partially collapsed MCMC for Bayesian Nonparametrics. AISTATS Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson
2020	J	`jnl`	Federating Recommendations Using Differentially Private Prototypes. CoRR Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
2019	J	`jnl`	Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks. CoRR Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Sinead Williamson
2014	A	`conf`	Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models. UAI Kumar Avinava Dubey, Sinead Williamson, Eric P. Xing
2013	A	`conf`	A Nonparametric Mixture Model for Topic Modeling over Time. SDM Avinava Dubey, Ahmed Hefny, Sinead Williamson, Eric P. Xing
2013	A	`conf`	A unifying representation for a class of dependent random measures. AISTATS Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson
2013	—	`conf`	Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models. ICML (1) Sinead Williamson, Avinava Dubey, Eric P. Xing
2013	—	`conf`	Restricting exchangeable nonparametric distributions. NIPS Sinead Williamson, Steven N. MacEachern, Eric P. Xing
2012	J	`jnl`	A survey of non-exchangeable priors for Bayesian nonparametric models CoRR Nicholas J. Foti, Sinead Williamson
2012	J	`jnl`	A unifying representation for a class of dependent random measures CoRR Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson
2012	A*	`conf`	Modeling Images using Transformed Indian Buffet Processes. ICML Ke Zhai, Yuening Hu, Jordan L. Boyd-Graber, Sinead Williamson
2012	—	`conf`	Slice sampling normalized kernel-weighted completely random measure mixture models. NIPS Nicholas J. Foti, Sinead Williamson
2010	A	`conf`	Dependent Indian Buffet Processes. AISTATS Sinead Williamson, Peter Orbanz, Zoubin Ghahramani
2010	A*	`conf`	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei
2008	A*	`conf`	Statistical models for partial membership. ICML Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani