Balanced Clustering for Content-based Image Browsing. - Tim Althoff; Adrian Ulges; Andreas Dengel 001 (Informatiktage, 2011)

Sparselet Models for Efficient Multiclass Object Detection. - Hyun Oh Song; Stefan Zickler; Tim Althoff; Ross B. Girshick; Mario Fritz; Christopher Geyer; Pedro F. Felzenszwalb; Trevor Darrell (ECCV (2), 2012)

Detection bank: an object detection based video representation for multimedia event recognition. - Tim Althoff; Hyun Oh Song; Trevor Darrell (ACM Multimedia, 2012)

Analysis and forecasting of trending topics in online media streams. - Tim Althoff; Damian Borth; Jörn Hees; Andreas Dengel 001 (ACM Multimedia, 2013)

How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. - Tim Althoff; Cristian Danescu-Niculescu-Mizil; Dan Jurafsky (ICWSM, 2014)

TimeMachine: Timeline Generation for Knowledge-Base Entities. - Tim Althoff; Xin Luna Dong; Kevin Murphy 002; Safa Alai; Van Dang; Wei Zhang 152 (KDD, 2015)

Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. - Tim Althoff; Jure Leskovec (WWW, 2015)

Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations. - Tim Althoff; Kevin Clark; Jure Leskovec (CoRR, 2016)

Influence of Pokémon Go on Physical Activity: Study and Implications. - Tim Althoff; Ryen W. White; Eric Horvitz (CoRR, 2016)

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. - Tim Althoff; Kevin Clark; Jure Leskovec (Trans. Assoc. Comput. Linguistics, 2016)

Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. - Tim Althoff; Pranav Jindal; Jure Leskovec (WSDM, 2017)

Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance. - Tim Althoff; Eric Horvitz; Ryen W. White; Jamie M. Zeitzer (WWW, 2017)

How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. - Ali Shameli; Tim Althoff; Amin Saberi; Jure Leskovec (WWW (Companion Volume), 2017)

Population-Scale Pervasive Health. - Tim Althoff (IEEE Pervasive Comput., 2017)

I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. - Zhiyuan Lin 001; Tim Althoff; Jure Leskovec (WWW, 2018)

Modeling Interdependent and Periodic Real-World Action Sequences. - Takeshi Kurashima; Tim Althoff; Jure Leskovec (WWW, 2018)

Modeling Individual Cyclic Variation in Human Behavior. - Emma Pierson; Tim Althoff; Jure Leskovec (WWW, 2018)

Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data. - Haraldur Tómas Hallgrímsson; Filip Jankovic; Tim Althoff; Luca Foschini 002 (CoRR, 2018)

Psychomotor function measured via online activity predicts motor vehicle fatality risk. - Tim Althoff; Eric Horvitz; Ryen W. White (npj Digit. Medicine, 2018)

Data science for human well-being. - Tim Althoff (2018)

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. - Mitchell L. Gordon; Tim Althoff; Jure Leskovec (WWW, 2019)

Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students. - Xuhai Xu; Prerna Chikersal; Afsaneh Doryab; Daniella K. Villalba; Janine M. Dutcher; Michael J. Tumminia; Tim Althoff; Sheldon Cohen; Kasey G. Creswell; J. David Creswell; Jennifer Mankoff; Anind K. Dey (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Best practices for analyzing large-scale health data from wearables and smartphone apps. - Jennifer L. Hicks; Tim Althoff; Rok Sosic; Peter Kuhar; Bojan Bostjancic; Abby C. King; Jure Leskovec; Scott L. Delp (npj Digit. Medicine, 2019)

Passively-sensed Behavioral Correlates of Discrimination Events in College Students. - Yasaman S. Sefidgar; Woosuk Seo; Kevin S. Kuehn; Tim Althoff; Anne Browning; Eve A. Riskin; Paula S. Nurius; Anind K. Dey; Jennifer Mankoff (Proc. ACM Hum. Comput. Interact., 2019)

Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis. - Yang Liu 136; Tim Althoff; Jeffrey Heer (CHI, 2020)

A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support. - Ashish Sharma 004; Adam S. Miner; David C. Atkins; Tim Althoff (EMNLP (1), 2020)

Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. - Ashish Sharma 004; Monojit Choudhury; Tim Althoff; Amit Sharma 007 (ICWSM, 2020)

Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions. - Jessica Schroeder; Jina Suh; Chelsey Wilkes; Mary Czerwinski; Sean A. Munson; James Fogarty; Tim Althoff (PervasiveHealth, 2020)

The Effect of Moderation on Online Mental Health Conversations. - David Wadden; Tal August; Qisheng Li; Tim Althoff (ICWSM, 2021)

Political Bias and Factualness in News Sharing across more than 100, 000 Online Communities. - Galen Weld; Maria Glenski; Tim Althoff (ICWSM, 2021)

MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches. - Mike A. Merrill; Ge Zhang; Tim Althoff (KDD, 2021)

Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. - Jina Suh; Eric Horvitz; Ryen W. White; Tim Althoff (WSDM, 2021)

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. - Ashish Sharma 004; Inna W. Lin; Adam S. Miner; David C. Atkins; Tim Althoff (WWW, 2021)

Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance. - Chunjong Park; Morelle Arian; Xin Liu 034; Leon Sasson; Jeffrey Kahn; Shwetak N. Patel; Alex Mariakakis; Tim Althoff (WWW, 2021)

Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities. - Galen Weld; Maria Glenski; Tim Althoff (CoRR, 2021)

Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models. - Galen Weld; Ellyn Ayton; Tim Althoff; Maria Glenski (CoRR, 2021)

Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets. - Mike A. Merrill; Tim Althoff (CoRR, 2021)

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. - Allison Shapiro; Nicole Marinsek; Ieuan Clay; Benjamin Bradshaw; Ernesto Ramirez; Jae Min; Andrew Trister; Yuedong Wang; Tim Althoff; Luca Foschini 002 (Patterns, 2021)

Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study. - Nicasia Beebe-Wang; Alex Okeson; Tim Althoff; Su-In Lee (IEEE J. Biomed. Health Informatics, 2021)

Boba: Authoring and Visualizing Multiverse Analyses. - Yang Liu 136; Alex Kale; Tim Althoff; Jeffrey Heer (IEEE Trans. Vis. Comput. Graph., 2021)

Grand Challenges for Personal Informatics and AI. - Lena Mamykina; Daniel A. Epstein; Predrag V. Klasnja; Donna Sprujt-Metz; Jochen Meyer 001; Mary Czerwinski; Tim Althoff; Eun Kyoung Choe; Munmun De Choudhury; Brian Y. Lim (CHI Extended Abstracts, 2022)

Gendered Mental Health Stigma in Masked Language Models. - Inna W. Lin; Lucille Njoo; Anjalie Field; Ashish Sharma 004; Katharina Reinecke; Tim Althoff; Yulia Tsvetkov (EMNLP, 2022)

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. - Galen Weld; Peter West; Maria Glenski; David Arbour; Ryan A. Rossi; Tim Althoff (ICWSM, 2022)

What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits. - Galen Weld; Amy X. Zhang; Tim Althoff (ICWSM, 2022)

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract). - Ashish Sharma 004; Inna W. Lin; Adam S. Miner; David C. Atkins; Tim Althoff (IJCAI, 2022)

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. - Xuhai Xu; Han Zhang 004; Yasaman S. Sefidgar; Yiyi Ren; Xin Liu 034; Woosuk Seo; Jennifer Brown; Kevin S. Kuehn; Mike A. Merrill; Paula S. Nurius; Shwetak N. Patel; Tim Althoff; et al. (NeurIPS, 2022)

Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models. - Margaret Li; Suchin Gururangan; Tim Dettmers; Mike Lewis; Tim Althoff; Noah A. Smith; Luke Zettlemoyer (CoRR, 2022)

CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis. - Ge Zhang; Mike A. Merrill; Yang Liu 136; Jeffrey Heer; Tim Althoff (EPJ Data Sci., 2022)

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling. - Xuhai Xu; Xin Liu 034; Han Zhang 004; Weichen Wang 001; Subigya Nepal; Yasaman S. Sefidgar; Woosuk Seo; Kevin S. Kuehn; Jeremy F. Huckins; Margaret E. Morris; Paula S. Nurius; Eve A. Riskin; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. - Ashish Sharma 004; Kevin Rushton; Inna E. Lin; David Wadden; Khendra G. Lucas; Adam S. Miner; Theresa Nguyen; Tim Althoff (ACL (1), 2023)

Understanding and Supporting Debugging Workflows in Multiverse Analysis. - Ken Gu; Eunice Jun; Tim Althoff (CHI, 2023)

Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. - Mike A. Merrill; Tim Althoff (CHIL, 2023)

Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. - Mike A. Merrill; Esteban Safranchik; Arinbjörn Kolbeinsson; Piyusha Gade; Ernesto Ramirez; Ludwig Schmidt; Luca Foshchini; Tim Althoff (CHIL, 2023)

Scaling Expert Language Models with Unsupervised Domain Discovery. - Suchin Gururangan; Margaret Li; Mike Lewis; Weijia Shi; Tim Althoff; Noah A. Smith; Luke Zettlemoyer (CoRR, 2023)

Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. - Ashish Sharma 004; Kevin Rushton; Inna Wanyin Lin; David Wadden; Khendra G. Lucas; Adam S. Miner; Theresa Nguyen; Tim Althoff (CoRR, 2023)

Approximation and Progressive Display of Multiverse Analyses. - Yang Liu 136; Tim Althoff; Jeffrey Heer (CoRR, 2023)

Human-AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support. - Ashish Sharma 004; Inna W. Lin; Adam S. Miner; David C. Atkins; Tim Althoff (Nat. Mac. Intell., 2023)

IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction. - Inna W. Lin; Ashish Sharma 004; Christopher Michael Rytting; Adam S. Miner; Jina Suh; Tim Althoff (ACL (1), 2024)

Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring. - Ashish Sharma 004; Kevin Rushton; Inna Wanyin Lin; Theresa Nguyen; Tim Althoff (CHI, 2024)

How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study. - Ken Gu; Madeleine Grunde-McLaughlin; Andrew M. McNutt; Jeffrey Heer; Tim Althoff (CHI, 2024)

How Do Analysts Understand and Verify AI-Assisted Data Analyses? - Ken Gu; Ruoxi Shang; Tim Althoff; Chenglong Wang; Steven Mark Drucker (CHI, 2024)

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. - Chu Li; Zhihan Zhang 002; Michael Saugstad; Esteban Safranchik; Chaitanyashareef Kulkarni; Xiaoyu Huang; Shwetak N. Patel; Vikram Iyer; Tim Althoff; Jon E. Froehlich (CHI, 2024)

BLADE: Benchmarking Language Model Agents for Data-Driven Science. - Ken Gu; Ruoxi Shang; Ruien Jiang; Keying Kuang; Richard-John Lin; Donghe Lyu; Yue Mao; Youran Pan; Teng Wu; Jiaqian Yu; Yikun Zhang; Tianmai M. Zhang; et al. (EMNLP (Findings), 2024)

Language Models Still Struggle to Zero-shot Reason about Time Series. - Mike A. Merrill; Mingtian Tan; Vinayak Gupta; Thomas Hartvigsen; Tim Althoff (EMNLP (Findings), 2024)

What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. - Akshay Paruchuri; Jake Garrison; Shun Liao; John Hernandez; Jacob E. Sunshine; Tim Althoff; Xin Liu 034; Daniel McDuff (EMNLP, 2024)

Position: A Roadmap to Pluralistic Alignment. - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi 001 (ICML, 2024)

Making Online Communities 'Better': A Taxonomy of Community Values on Reddit. - Galen Weld; Amy X. Zhang; Tim Althoff (ICWSM, 2024)

Are Language Models Actually Useful for Time Series Forecasting? - Mingtian Tan; Mike A. Merrill; Vinayak Gupta; Tim Althoff; Tom Hartvigsen (NeurIPS, 2024)

A Computational Framework for Behavioral Assessment of LLM Therapists. - Yu Ying Chiu; Ashish Sharma 004; Inna Wanyin Lin; Tim Althoff (CoRR, 2024)

Perceptions of Moderators as a Large-Scale Measure of Online Community Governance. - Galen Weld; Leon Leibmann; Amy X. Zhang; Tim Althoff (CoRR, 2024)

A Roadmap to Pluralistic Alignment. - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi 001 (CoRR, 2024)

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. - Chu Li; Zhihan Zhang 002; Michael Saugstad; Esteban Safranchik; Minchu Kulkarni; Xiaoyu Huang; Shwetak N. Patel; Vikram Iyer; Tim Althoff; Jon E. Froehlich (CoRR, 2024)

Correcting misinformation on social media with a large language model. - Xinyi Zhou 001; Ashish Sharma 004; Amy X. Zhang; Tim Althoff (CoRR, 2024)

Countrywide natural experiment reveals impact of built environment on physical activity. - Tim Althoff; Boris Ivanovic; Jennifer L. Hicks; Scott L. Delp; Abby C. King; Jure Leskovec (CoRR, 2024)

Transforming Wearable Data into Health Insights using Large Language Model Agents. - Mike A. Merrill; Akshay Paruchuri; Naghmeh Rezaei; Geza Kovacs; Javier Perez Matos; Yun Liu 013; Erik Schenck; Nova Hammerquist; Jake Sunshine; Shyam A. Tailor; Kumar Ayush; Hao-Wei Su; et al. (CoRR, 2024)

Towards a Personal Health Large Language Model. - Justin Cosentino; Anastasiya Belyaeva; Xin Liu 034; Nicholas A. Furlotte; Zhun Yang; Chace Lee; Erik Schenck; Yojan Patel; Jian Cui; Logan Douglas Schneider; Robby Bryant; Ryan G. Gomes; et al. (CoRR, 2024)

Scaling Wearable Foundation Models. - Girish Narayanswamy; Xin Liu 034; Kumar Ayush; Yuzhe Yang 003; Xuhai Xu; Shun Liao; Jake Garrison; Shyam A. Tailor; Jake Sunshine; Yun Liu 013; Tim Althoff; Shrikanth Narayanan; et al. (CoRR, 2024)

"I will just have to keep driving": A Mixed-methods Investigation of Lack of Agency within the Thai Motorcycle Rideshare Driver Community. - Nussara Tieanklin; Joseph Breda; Tim Althoff; Kurtis Heimerl (Proc. ACM Hum. Comput. Interact., 2024)

Substance over Style: Evaluating Proactive Conversational Coaching Agents. - Vidya Srinivas; Xuhai Xu; Xin Liu 034; Kumar Ayush; Isaac R. Galatzer-Levy; Shwetak N. Patel; Daniel McDuff; Tim Althoff (ACL (1), 2025)

Scaling Wearable Foundation Models. - Girish Narayanswamy; Xin Liu 034; Kumar Ayush; Yuzhe Yang 003; Xuhai Xu; Shun Liao; Jake Garrison; Shyam A. Tailor; Jacob E. Sunshine; Yun Liu 013; Tim Althoff; Shrikanth Narayanan; et al. (ICLR, 2025)

Reddit Rules and Rulers: Quantifying the Link Between Rules and Perceptions of Governance Across Thousands of Communities. - Leon Leibmann; Galen Weld; Amy X. Zhang; Tim Althoff (ICWSM, 2025)

Human Decision-making is Susceptible to AI-driven Manipulation. - Sahand Sabour; June M. Liu; Siyang Liu 003; Chris Z. Yao; Shiyao Cui; Xuanming Zhang; Wen Zhang; Yaru Cao; Advait Bhat; Jian Guan 002; Wei Wu 014; Rada Mihalcea; et al. (CoRR, 2025)

Inferring Event Descriptions from Time Series with Language Models. - Mingtian Tan; Mike A. Merrill; Zack Gottesman; Tim Althoff; David Evans; Tom Hartvigsen (CoRR, 2025)

LSM-2: Learning from Incomplete Wearable Sensor Data. - Maxwell A. Xu; Girish Narayanswamy; Kumar Ayush; Dimitris Spathis; Shun Liao; Shyam A. Tailor; Ahmed Metwally 002; A. Ali Heydari; Yuwei Zhang; Jake Garrison; Samy Abdel-Ghaffar; Xuhai Xu; et al. (CoRR, 2025)

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models. - Mickel Liu; Liwei Jiang; Yancheng Liang; Simon Shaolei Du; Yejin Choi 001; Tim Althoff; Natasha Jaques (CoRR, 2025)

RADAR: Benchmarking Language Models on Imperfect Tabular Data. - Ken Gu; Zhihan Zhang 002; Kate Lin; Yuwei Zhang; Akshay Paruchuri; Hong Yu 001; Mehran Kazemi; Kumar Ayush; A. Ali Heydari; Maxwell A. Xu; Girish Narayanswamy; Yun Liu 013; et al. (CoRR, 2025)

SensorLM: Learning the Language of Wearable Sensors. - Yuwei Zhang; Kumar Ayush; Siyuan Qiao; A. Ali Heydari; Girish Narayanswamy; Maxwell A. Xu; Ahmed A. Metwally; Shawn Xu; Jake Garrison; Xuhai Xu; Tim Althoff; Yun Liu 013; et al. (CoRR, 2025)

How Conversational Structure and Style Shape Online Community Experiences. - Galen Weld; Carl Pearson; Bradley Spahn; Tim Althoff; Amy X. Zhang; Sanjay Kairam (CoRR, 2025)