Heinrich Peters

According to our database, Heinrich Peters authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment.

Jialu Wang, Heinrich Peters, Asad A. Butt, Navid Hashemi, Alireza Hashemi, Pouya M. Ghari, Joseph Hoover, James Rae, Morteza Dehghani

CoRR, March, 2026

2024

Generalizable Error Modeling for Human Data Annotation: Evidence From an Industry-Scale Search Data Annotation Program.

Heinrich Peters, Alireza Hashemi, James Rae

ACM J. Data Inf. Qual., September, 2024

Modeling User Engagement on Online Social Platforms - A Context-Aware Machine Learning Approach

Heinrich Peters

PhD thesis, 2024

Do Large Language Models Understand Verbal Indicators of Romantic Attraction?

Sandra C. Matz, Heinrich Peters, Paul W. Eastwick, Moran Cerf, Eli J. Finkel

CoRR, 2024

Large Language Models Can Infer Personality from Free-Form User Interactions.

Heinrich Peters, Moran Cerf, Sandra C. Matz

CoRR, 2024

Social media use is predictable from app sequences: Using LSTM and transformer neural networks to model habitual behavior.

Heinrich Peters, Joseph B. Bayer, Sandra C. Matz, Yikun Chi, Sumer S. Vaid, Gabriella M. Harari

Comput. Hum. Behav., 2024

Model Share AI.

Heinrich Peters, Michael Parrott

Proceedings of the 23rd Python in Science Conference, 2024

2023

Sensory substitution can improve decision-making.

Heinrich Peters, Sandra C. Matz, Moran Cerf

Comput. Hum. Behav., September, 2023

Context-Aware Prediction of User Engagement on Online Social Platforms.

Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten, Sandra C. Matz, Maarten W. Bos

CoRR, 2023

Generalizable Error Modeling for Search Relevance Data Annotation Tasks.

Heinrich Peters, Alireza Hashemi, James Rae

CoRR, 2023

Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python.

Heinrich Peters, Michael Parrott

CoRR, 2023

Large Language Models Can Infer Psychological Dispositions of Social Media Users.

Heinrich Peters, Sandra C. Matz

CoRR, 2023

Predicting Future Location Categories of Users in a Large Social Platform.

Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2021

Construction and validation of a game-based intelligence assessment in minecraft.

Heinrich Peters, Andrew Kyngdon, David Stillwell

Comput. Hum. Behav., 2021