Aaron Schein - RankMe

33 papers A* 6A 3B 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Layers at Similar Depths Generate Similar Activations Across LLM Architectures. CoRR Christopher Wolfram, Aaron Schein
2025	A*	`conf`	Linear Representations of Political Perspective Emerge in Large Language Models. ICLR Junsol Kim, James Evans, Aaron Schein
2025	J	`jnl`	Linear Representations of Political Perspective Emerge in Large Language Models. CoRR Junsol Kim, James Evans, Aaron Schein
2024	—	`conf`	Activation Scaling for Steering and Interpreting Language Models. EMNLP (Findings) Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein
2024	J	`jnl`	Activation Scaling for Steering and Interpreting Language Models. CoRR Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein
2024	J	`jnl`	Addressing Discretization-Induced Bias in Demographic Prediction. CoRR Evan Dong, Aaron Schein, Yixin Wang, Nikhil Garg
2024	—	`conf`	Context versus Prior Knowledge in Language Models. ACL (1) Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell
2024	J	`jnl`	Context versus Prior Knowledge in Language Models. CoRR Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell
2024	J	`jnl`	Doubly Non-Central Beta Matrix Factorization for Stable Dimensionality Reduction of Bounded Support Matrix Data. CoRR Anjali Nagulpally, Patrick Flaherty, Aaron Schein
2023	—	`conf`	An Ordinal Latent Variable Model of Conflict Intensity. ACL (1) Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein
2023	J	`jnl`	Measurement in the Age of LLMs: An Application to Ideological Scaling. CoRR Sean O'Hagan, Aaron Schein
2023	A	`conf`	Sentiment as an Ordinal Latent Variable. EACL Niklas Stoehr, Ryan Cotterell, Aaron Schein
2023	A	`conf`	The Ordered Matrix Dirichlet for State-Space Models. AISTATS Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein
2022	J	`jnl`	An Ordinal Latent Variable Model of Conflict Intensity. CoRR Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein
2022	—	`ed.`	Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA ICBINB Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein
2022	J	`jnl`	The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. CoRR Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein
2021	A*	`conf`	Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections. WWW Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green
2021	J	`jnl`	Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data. CoRR Aaron Schein, Anjali Nagulpally, Hanna M. Wallach, Patrick Flaherty
2021	A	`conf`	Doubly non-central beta matrix factorization for DNA methylation data. UAI Aaron Schein, Anjali Nagulpally, Hanna M. Wallach, Patrick Flaherty
2021	—	`ed.`	I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021. ICBINB@NeurIPS Melanie F. Pradier, Aaron Schein, Stephanie L. Hyland, Francisco J. R. Ruiz, Jessica Zosa Forde
2020	—	`ed.`	"I Can't Believe It's Not Better!" at NeurIPS Workshops, Virtual, December 12, 2020 ICBINB@NeurIPS Jessica Zosa Forde, Francisco J. R. Ruiz, Melanie F. Pradier, Aaron Schein
2019	A*	`conf`	Locally Private Bayesian Inference for Count Models. ICML Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield, Mingyuan Zhou, Hanna M. Wallach
2019	A*	`conf`	Poisson-Randomized Gamma Dynamical Systems. NeurIPS Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
2019	J	`jnl`	Poisson-Randomized Gamma Dynamical Systems. CoRR Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
2018	J	`jnl`	Locally Private Bayesian Inference for Count Models. CoRR Aaron Schein, Zhiwei Steven Wu, Mingyuan Zhou, Hanna M. Wallach
2017	J	`jnl`	Poisson-Gamma Dynamical Systems. CoRR Aaron Schein, Mingyuan Zhou, Hanna M. Wallach
2016	A*	`conf`	Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. ICML Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
2016	J	`jnl`	Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. CoRR Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
2016	—	`conf`	Poisson-Gamma dynamical systems. NIPS Aaron Schein, Hanna M. Wallach, Mingyuan Zhou
2015	A*	`conf`	Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. KDD Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach
2015	J	`jnl`	Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. CoRR Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach
2013	J	`jnl`	Inferring Multilateral Relations from Dynamic Pairwise Interactions. CoRR Aaron Schein, Juston Moore, Hanna M. Wallach
2012	B	`conf`	International Multicultural Name Matching Competition: Design, Execution, Results, and Lessons Learned. LREC Keith J. Miller, Elizabeth Schroeder Richerson, Sarah McLeod, James Finley, Aaron Schein