Tim Althoff - RankMe

135 papers A* 25A 10Journal 86Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Responsible Evaluation of AI for Mental Health. CoRR Hiba Arnaout, Anmol Goel, H. Andrew Schwartz, Steffen Eberhardt, Dana Atzil-Slonim, Gavin Doherty, Brian Schwartz, Wolfgang Lutz, Tim Althoff, Munmun De Choudhury, Hamidreza Jamalabadi, Raj Sanjay Shah, Flor Miriam Plaza del Arco, Dirk Hovy, Maria Liakata, Iryna Gurevych
2025	J	`jnl`	Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models. CoRR Mickel Liu, Liwei Jiang, Yancheng Liang, Simon Shaolei Du, Yejin Choi, Tim Althoff, Natasha Jaques
2025	J	`jnl`	Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning. CoRR Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques
2025	J	`jnl`	How Conversational Structure and Style Shape Online Community Experiences. CoRR Galen Weld, Carl Pearson, Bradley Spahn, Tim Althoff, Amy X. Zhang, Sanjay Kairam
2025	J	`jnl`	Human Decision-making is Susceptible to AI-driven Manipulation. CoRR Sahand Sabour, June M. Liu, Siyang Liu, Chris Z. Yao, Shiyao Cui, Xuanming Zhang, Wen Zhang, Yaru Cao, Advait Bhat, Jian Guan, Wei Wu, Rada Mihalcea, Hongning Wang, Tim Althoff, Tatia M. C. Lee, Minlie Huang
2025	J	`jnl`	Inferring Event Descriptions from Time Series with Language Models. CoRR Mingtian Tan, Mike A. Merrill, Zack Gottesman, Tim Althoff, David Evans, Tom Hartvigsen
2025	J	`jnl`	LSM-2: Learning from Incomplete Wearable Sensor Data. CoRR Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff
2025	J	`jnl`	Perceptions of Moderators as a Large-Scale Measure of Online Community Governance. Proc. ACM Hum. Comput. Interact. Galen Cassebeer Weld, Leon Leibmann, Amy X. Zhang, Tim Althoff
2025	J	`jnl`	RADAR: Benchmarking Language Models on Imperfect Tabular Data. CoRR Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A. Xu, Girish Narayanswamy, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak N. Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu
2025	A	`conf`	Reddit Rules and Rulers: Quantifying the Link Between Rules and Perceptions of Governance Across Thousands of Communities. ICWSM Leon Leibmann, Galen Weld, Amy X. Zhang, Tim Althoff
2025	J	`jnl`	Reddit Rules and Rulers: Quantifying the Link Between Rules and Perceptions of Governance across Thousands of Communities. CoRR Leon Leibmann, Galen Weld, Amy X. Zhang, Tim Althoff
2025	A*	`conf`	Scaling Wearable Foundation Models. ICLR Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob E. Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff
2025	J	`jnl`	Self-Improving VLM Judges Without Human Annotations. CoRR Inna Wanyin Lin, Yushi Hu, Shuyue Stella Li, Scott Geng, Pang Wei Koh, Luke Zettlemoyer, Tim Althoff, Marjan Ghazvininejad
2025	J	`jnl`	SensorLM: Learning the Language of Wearable Sensors. CoRR 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, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
2025	—	`conf`	Substance over Style: Evaluating Proactive Conversational Coaching Agents. ACL (1) Vidya Srinivas, Xuhai Xu, Xin Liu, Kumar Ayush, Isaac R. Galatzer-Levy, Shwetak N. Patel, Daniel McDuff, Tim Althoff
2025	J	`jnl`	Substance over Style: Evaluating Proactive Conversational Coaching Agents. CoRR Vidya Srinivas, Xuhai Xu, Xin Liu, Kumar Ayush, Isaac R. Galatzer-Levy, Shwetak N. Patel, Daniel McDuff, Tim Althoff
2025	J	`jnl`	SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models. CoRR Ken Gu, Advait Bhat, Mike A. Merrill, Robert West, Xin Liu, Daniel McDuff, Tim Althoff
2025	J	`jnl`	The Anatomy of a Personal Health Agent. CoRR A. Ali Heydari, Ken Gu, Vidya Srinivas, Hong Yu, Zhihan Zhang, Yuwei Zhang, Akshay Paruchuri, Qian He, Hamid Palangi, Nova Hammerquist, Ahmed A. Metwally, Brent Winslow, Yubin Kim, Kumar Ayush, Yuzhe Yang, Girish Narayanswamy, Maxwell A. Xu, Jake Garrison, Amy A. Lee, Jenny Vafeiadou, Benjamin Graef, Isaac R. Galatzer-Levy, Erik Schenck, Andrew Barakat, Javier Perez Matos, Jacqueline Shreibati, John Hernandez, Anthony Z. Faranesh, Javier L. Prieto, Conor Heneghan, Yun Liu, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Tim Althoff, Xin Liu, Daniel McDuff, Xuhai Xu
2025	J	`jnl`	Towards a Science of Scaling Agent Systems. CoRR Yubin Kim, Ken Gu, Chanwoo Park, Chunjong Park, Samuel Schmidgall, A. Ali Heydari, Yao Yan, Zhihan Zhang, Yuchen Zhuang, Mark Malhotra, Paul Pu Liang, Hae Won Park, Yuzhe Yang, Xuhai Xu, Yilun Du, Shwetak N. Patel, Tim Althoff, Daniel McDuff, Xin Liu
2024	J	`jnl`	"I will just have to keep driving": A Mixed-methods Investigation of Lack of Agency within the Thai Motorcycle Rideshare Driver Community. Proc. ACM Hum. Comput. Interact. Nussara Tieanklin, Joseph Breda, Tim Althoff, Kurtis Heimerl
2024	J	`jnl`	A Computational Framework for Behavioral Assessment of LLM Therapists. CoRR Yu Ying Chiu, Ashish Sharma, Inna Wanyin Lin, Tim Althoff
2024	J	`jnl`	A Roadmap to Pluralistic Alignment. CoRR 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
2024	A*	`conf`	Are Language Models Actually Useful for Time Series Forecasting? NeurIPS Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Tom Hartvigsen
2024	J	`jnl`	Are Language Models Actually Useful for Time Series Forecasting? CoRR Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen
2024	—	`conf`	BLADE: Benchmarking Language Model Agents for Data-Driven Science. EMNLP (Findings) 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, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff
2024	J	`jnl`	BLADE: Benchmarking Language Model Agents for Data-Driven Science. CoRR 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, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff
2024	J	`jnl`	Correcting misinformation on social media with a large language model. CoRR Xinyi Zhou, Ashish Sharma, Amy X. Zhang, Tim Althoff
2024	J	`jnl`	Countrywide natural experiment reveals impact of built environment on physical activity. CoRR Tim Althoff, Boris Ivanovic, Jennifer L. Hicks, Scott L. Delp, Abby C. King, Jure Leskovec
2024	A*	`conf`	Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring. CHI Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, Theresa Nguyen, Tim Althoff
2024	J	`jnl`	GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling. GetMobile Mob. Comput. Commun. Xuhai Orson Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Nepal, Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris, Paula S. Nurius, Eve A. Riskin, Shwetak N. Patel, Tim Althoff, Andrew T. Campbell, Anind K. Dey, Jennifer Mankoff
2024	A*	`conf`	How Do Analysts Understand and Verify AI-Assisted Data Analyses? CHI Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker
2024	A*	`conf`	How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study. CHI Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, Tim Althoff
2024	—	`conf`	IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction. ACL (1) Inna W. Lin, Ashish Sharma, Christopher Michael Rytting, Adam S. Miner, Jina Suh, Tim Althoff
2024	J	`jnl`	IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction. CoRR Inna Wanyin Lin, Ashish Sharma, Christopher Michael Rytting, Adam S. Miner, Jina Suh, Tim Althoff
2024	A*	`conf`	LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. CHI Chu Li, Zhihan Zhang, Michael Saugstad, Esteban Safranchik, Chaitanyashareef Kulkarni, Xiaoyu Huang, Shwetak N. Patel, Vikram Iyer, Tim Althoff, Jon E. Froehlich
2024	J	`jnl`	LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. CoRR Chu Li, Zhihan Zhang, Michael Saugstad, Esteban Safranchik, Minchu Kulkarni, Xiaoyu Huang, Shwetak N. Patel, Vikram Iyer, Tim Althoff, Jon E. Froehlich
2024	—	`conf`	Language Models Still Struggle to Zero-shot Reason about Time Series. EMNLP (Findings) Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, Tim Althoff
2024	J	`jnl`	Language Models Still Struggle to Zero-shot Reason about Time Series. CoRR Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Tom Hartvigsen, Tim Althoff
2024	A	`conf`	Making Online Communities 'Better': A Taxonomy of Community Values on Reddit. ICWSM Galen Weld, Amy X. Zhang, Tim Althoff
2024	J	`jnl`	Perceptions of Moderators as a Large-Scale Measure of Online Community Governance. CoRR Galen Weld, Leon Leibmann, Amy X. Zhang, Tim Althoff
2024	A*	`conf`	Position: A Roadmap to Pluralistic Alignment. ICML 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
2024	J	`jnl`	Scaling Wearable Foundation Models. CoRR Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff
2024	J	`jnl`	Towards a Personal Health Large Language Model. CoRR Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam A. Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean
2024	J	`jnl`	Transforming Wearable Data into Health Insights using Large Language Model Agents. CoRR Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam A. Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu
2024	A*	`conf`	What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. EMNLP Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff
2024	J	`jnl`	What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. CoRR Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff
2023	J	`jnl`	Approximation and Progressive Display of Multiverse Analyses. CoRR Yang Liu, Tim Althoff, Jeffrey Heer
2023	—	`conf`	Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. ACL (1) Ashish Sharma, Kevin Rushton, Inna E. Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff
2023	J	`jnl`	Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. CoRR Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff
2023	J	`jnl`	Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring. CoRR Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, Theresa Nguyen, Tim Althoff
2023	—	`conf`	Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. CHIL Mike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff
2023	J	`jnl`	How Do Analysts Understand and Verify AI-Assisted Data Analyses? CoRR Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker
2023	J	`jnl`	How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study. CoRR Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, Tim Althoff
2023	J	`jnl`	Human-AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support. Nat. Mac. Intell. Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff
2023	J	`jnl`	Scaling Expert Language Models with Unsupervised Domain Discovery. CoRR Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer
2023	—	`conf`	Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. CHIL Mike A. Merrill, Tim Althoff
2023	A*	`conf`	Understanding and Supporting Debugging Workflows in Multiverse Analysis. CHI Ken Gu, Eunice Jun, Tim Althoff
2022	A	`conf`	Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. ICWSM Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff
2022	J	`jnl`	Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models. CoRR Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer
2022	J	`jnl`	CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis. EPJ Data Sci. Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff
2022	A*	`conf`	GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. NeurIPS Xuhai Xu, Han Zhang, Yasaman S. Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin S. Kuehn, Mike A. Merrill, Paula S. Nurius, Shwetak N. Patel, Tim Althoff, Margaret E. Morris, Eve A. Riskin, Jennifer Mankoff, Anind K. Dey
2022	J	`jnl`	GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. CoRR Xuhai Xu, Han Zhang, Yasaman S. Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin S. Kuehn, Mike A. Merrill, Paula S. Nurius, Shwetak N. Patel, Tim Althoff, Margaret E. Morris, Eve A. Riskin, Jennifer Mankoff, Anind K. Dey
2022	J	`jnl`	GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Xuhai Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Nepal, Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris, Paula S. Nurius, Eve A. Riskin, Shwetak N. Patel, Tim Althoff, Andrew Campbell, Anind K. Dey, Jennifer Mankoff
2022	A*	`conf`	Gendered Mental Health Stigma in Masked Language Models. EMNLP Inna W. Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov
2022	J	`jnl`	Gendered Mental Health Stigma in Masked Language Models. CoRR Inna Wanyin Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov
2022	—	`conf`	Grand Challenges for Personal Informatics and AI. CHI Extended Abstracts Lena Mamykina, Daniel A. Epstein, Predrag V. Klasnja, Donna Spruijt-Metz, Jochen Meyer, Mary Czerwinski, Tim Althoff, Eun Kyoung Choe, Munmun De Choudhury, Brian Y. Lim
2022	J	`jnl`	Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support. CoRR Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff
2022	J	`jnl`	Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. CoRR Mike A. Merrill, Tim Althoff
2022	A*	`conf`	Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract). IJCAI Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff
2022	J	`jnl`	Understanding and Supporting Debugging Workflows in Multiverse Analysis. CoRR Ken Gu, Eunice Jun, Tim Althoff
2022	A	`conf`	What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits. ICWSM Galen Weld, Amy X. Zhang, Tim Althoff
2021	J	`jnl`	Boba: Authoring and Visualizing Multiverse Analyses. IEEE Trans. Vis. Comput. Graph. Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer
2021	J	`jnl`	Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. Patterns Allison Shapiro, Nicole Marinsek, Ieuan Clay, Benjamin Bradshaw, Ernesto Ramirez, Jae Min, Andrew Trister, Yuedong Wang, Tim Althoff, Luca Foschini
2021	J	`jnl`	Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study. IEEE J. Biomed. Health Informatics Nicasia Beebe-Wang, Alex Okeson, Tim Althoff, Su-In Lee
2021	J	`jnl`	Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models. CoRR Galen Weld, Ellyn Ayton, Tim Althoff, Maria Glenski
2021	A*	`conf`	MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches. KDD Mike A. Merrill, Ge Zhang, Tim Althoff
2021	J	`jnl`	Making Online Communities 'Better': A Taxonomy of Community Values on Reddit. CoRR Galen Weld, Amy X. Zhang, Tim Althoff
2021	A*	`conf`	Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance. WWW Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, Alex Mariakakis, Tim Althoff
2021	J	`jnl`	Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance. CoRR Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, Alex Mariakakis, Tim Althoff
2021	J	`jnl`	Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities. CoRR Galen Weld, Maria Glenski, Tim Althoff
2021	A	`conf`	Political Bias and Factualness in News Sharing across more than 100, 000 Online Communities. ICWSM Galen Weld, Maria Glenski, Tim Althoff
2021	A	`conf`	Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. WSDM Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff
2021	A	`conf`	The Effect of Moderation on Online Mental Health Conversations. ICWSM David Wadden, Tal August, Qisheng Li, Tim Althoff
2021	A*	`conf`	Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. WWW Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff
2021	J	`jnl`	Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. CoRR Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff
2021	J	`jnl`	Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets. CoRR Mike A. Merrill, Tim Althoff
2021	J	`jnl`	What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits. CoRR Galen Weld, Amy X. Zhang, Tim Althoff
2020	—	`conf`	A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support. EMNLP (1) Ashish Sharma, Adam S. Miner, David C. Atkins, Tim Althoff
2020	J	`jnl`	A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support. CoRR Ashish Sharma, Adam S. Miner, David C. Atkins, Tim Althoff
2020	J	`jnl`	Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. CoRR Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff
2020	J	`jnl`	Boba: Authoring and Visualizing Multiverse Analyses. CoRR Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer
2020	J	`jnl`	CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis. CoRR Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff
2020	—	`conf`	Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions. PervasiveHealth Jessica Schroeder, Jina Suh, Chelsey Wilkes, Mary Czerwinski, Sean A. Munson, James Fogarty, Tim Althoff
2020	A	`conf`	Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. ICWSM Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma
2020	J	`jnl`	Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. CoRR Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma
2020	A*	`conf`	Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis. CHI Yang Liu, Tim Althoff, Jeffrey Heer
2020	J	`jnl`	Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. CoRR Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff
2020	J	`jnl`	The Effect of Moderation on Online Mental Health Conversations. CoRR David Wadden, Tal August, Qisheng Li, Tim Althoff
2019	J	`jnl`	Best practices for analyzing large-scale health data from wearables and smartphone apps. npj Digit. Medicine Jennifer L. Hicks, Tim Althoff, Rok Sosic, Peter Kuhar, Bojan Bostjancic, Abby C. King, Jure Leskovec, Scott L. Delp
2019	A*	`conf`	Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. WWW Mitchell L. Gordon, Tim Althoff, Jure Leskovec
2019	J	`jnl`	Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. CoRR Mitchell L. Gordon, Tim Althoff, Jure Leskovec
2019	J	`jnl`	Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 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
2019	J	`jnl`	Passively-sensed Behavioral Correlates of Discrimination Events in College Students. Proc. ACM Hum. Comput. Interact. Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Tim Althoff, Anne Browning, Eve A. Riskin, Paula S. Nurius, Anind K. Dey, Jennifer Mankoff
2019	J	`jnl`	Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis. CoRR Yang Liu, Tim Althoff, Jeffrey Heer
2018	—	`—`	Data science for human well-being. Tim Althoff
2018	A*	`conf`	I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. WWW Zhiyuan Lin, Tim Althoff, Jure Leskovec
2018	J	`jnl`	I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. CoRR Zhiyuan Lin, Tim Althoff, Jure Leskovec
2018	J	`jnl`	Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data. CoRR Haraldur Tómas Hallgrímsson, Filip Jankovic, Tim Althoff, Luca Foschini
2018	A*	`conf`	Modeling Individual Cyclic Variation in Human Behavior. WWW Emma Pierson, Tim Althoff, Jure Leskovec
2018	A*	`conf`	Modeling Interdependent and Periodic Real-World Action Sequences. WWW Takeshi Kurashima, Tim Althoff, Jure Leskovec
2018	J	`jnl`	Modeling Interdependent and Periodic Real-World Action Sequences. CoRR Takeshi Kurashima, Tim Althoff, Jure Leskovec
2018	J	`jnl`	Psychomotor function measured via online activity predicts motor vehicle fatality risk. npj Digit. Medicine Tim Althoff, Eric Horvitz, Ryen W. White
2017	A*	`conf`	Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance. WWW Tim Althoff, Eric Horvitz, Ryen W. White, Jamie M. Zeitzer
2017	J	`jnl`	Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance. CoRR Tim Althoff, Eric Horvitz, Ryen W. White, Jamie M. Zeitzer
2017	—	`conf`	How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. WWW (Companion Volume) Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec
2017	J	`jnl`	How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. CoRR Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec
2017	J	`jnl`	Modeling Individual Cyclic Variation in Human Behavior. CoRR Emma Pierson, Tim Althoff, Jure Leskovec
2017	A	`conf`	Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. WSDM Tim Althoff, Pranav Jindal, Jure Leskovec
2017	J	`jnl`	Population-Scale Pervasive Health. IEEE Pervasive Comput. Tim Althoff
2016	J	`jnl`	Influence of Pokémon Go on Physical Activity: Study and Implications. CoRR Tim Althoff, Ryen W. White, Eric Horvitz
2016	J	`jnl`	Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. Trans. Assoc. Comput. Linguistics Tim Althoff, Kevin Clark, Jure Leskovec
2016	J	`jnl`	Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations. CoRR Tim Althoff, Kevin Clark, Jure Leskovec
2016	J	`jnl`	Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. CoRR Tim Althoff, Pranav Jindal, Jure Leskovec
2015	A*	`conf`	Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. WWW Tim Althoff, Jure Leskovec
2015	J	`jnl`	Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. CoRR Tim Althoff, Jure Leskovec
2015	A*	`conf`	TimeMachine: Timeline Generation for Knowledge-Base Entities. KDD Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
2015	J	`jnl`	TimeMachine: Timeline Generation for Knowledge-Base Entities. CoRR Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
2014	J	`jnl`	Analysis and Forecasting of Trending Topics in Online Media Streams. CoRR Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel
2014	J	`jnl`	Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition. CoRR Tim Althoff, Hyun Oh Song, Trevor Darrell
2014	A	`conf`	How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. ICWSM Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky
2014	J	`jnl`	How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. CoRR Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky
2013	A*	`conf`	Analysis and forecasting of trending topics in online media streams. ACM Multimedia Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel
2012	A*	`conf`	Detection bank: an object detection based video representation for multimedia event recognition. ACM Multimedia Tim Althoff, Hyun Oh Song, Trevor Darrell
2012	—	`conf`	Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell
2011	—	`conf`	Balanced Clustering for Content-based Image Browsing. Informatiktage Tim Althoff, Adrian Ulges, Andreas Dengel