Venkatesh Sivaraman

34 papers A* 8A 3Misc 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Intelligent Reasoning Cues: A Framework and Case Study of the Roles of AI Information in Complex Decisions.
CHI
Venkatesh Sivaraman, Eric Paul Mason, Mengfan Ellen Li, Jessica Tong, Andrew Joseph King, Jeremy M. Kahn, Adam Perer
2026 J jnl
Intelligent Reasoning Cues: A Framework and Case Study of the Roles of AI Information in Complex Decisions.
CoRR
Venkatesh Sivaraman, Eric Paul Mason, Mengfan Ellen Li, Jessica Tong, Andrew J. King, Jeremy M. Kahn, Adam Perer
2026 J jnl
More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes.
CoRR
Venkatesh Sivaraman, Patrick Vossler, Adam Perer, Julian Hong, Jean Feng
2025 J jnl
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments.
IEEE Trans. Vis. Comput. Graph.
Angie W. Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman
2025 A* conf
Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis.
CHI
Venkatesh Sivaraman, Zexuan Li, Adam Perer
2025 J jnl
Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis.
CoRR
Venkatesh Sivaraman, Zexuan Li, Adam Perer
2025 J jnl
Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support.
CoRR
Venkatesh Sivaraman, Katelyn Morrison, Will Epperson, Adam Perer
2025 J jnl
Static Algorithm, Evolving Epidemic: Understanding the Potential of Human-AI Risk Assessment to Support Regional Overdose Prevention.
CoRR
Venkatesh Sivaraman, Yejun Kwak, Courtney Kuza, Qingnan Yang, Kayleigh Adamson, Katie Suda, Lu Tang, Walid Gellad, Adam Perer
2025 J jnl
Static Algorithm, Evolving Epidemic: Understanding the Potential of Human-AI Risk Assessment to Support Regional Overdose Prevention.
Proc. ACM Hum. Comput. Interact.
Venkatesh Sivaraman, Yejun Kwak, Courtney Kuza, Qingnan Yang, Kayleigh Adamson, Katie Suda, Lu Tang, Walid Gellad, Adam Perer
2025 A* conf
Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks.
CHI
Venkatesh Sivaraman, Anika Vaishampayan, Xiaotong Li, Brian R. Buck, Ziyong Ma, Richard D. Boyce, Adam Perer
2025 J jnl
Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks.
CoRR
Venkatesh Sivaraman, Anika Vaishampayan, Xiaotong Li, Brian R. Buck, Ziyong Ma, Richard D. Boyce, Adam Perer
2025 J jnl
TempoQL: A Readable, Precise, and Portable Query System for Electronic Health Record Data.
CoRR
Ziyong Ma, Richard D. Boyce, Adam Perer, Venkatesh Sivaraman
2024 J jnl
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments.
CoRR
Angie W. Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman
2024 A conf
Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations.
IEEE VIS
Venkatesh Sivaraman, Frank Elavsky, Dominik Moritz, Adam Perer
2024 J jnl
Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations.
CoRR
Venkatesh Sivaraman, Frank Elavsky, Dominik Moritz, Adam Perer
2024 J jnl
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models.
CoRR
Unnseo Park, Venkatesh Sivaraman, Adam Perer
2024 A* conf
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit.
CHI
Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy M. Kahn, Leigh A. Bukowski, Sher Shah Amin, Kathryn A. Riman, Billie S. Davis, John S. Minturn, Andrew J. King, Dan Ricketts, Lu Tang, Venkatesh Sivaraman, Adam Perer, Sarah Masud Preum, James McCann, John Zimmerman
2024 J jnl
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit.
CoRR
Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy M. Kahn, Leigh A. Bukowski, Sher Shah Amin, Kathryn A. Riman, Billie S. Davis, John S. Minturn, Andrew J. King, Dan Ricketts, Lu Tang, Venkatesh Sivaraman, Adam Perer, Sarah Masud Preum, James McCann, John Zimmerman
2023 A* conf
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care.
CHI
Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer
2023 J jnl
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care.
CoRR
Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer
2022 A conf
"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts.
Conference on Designing Interactive Systems
Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
2022 A conf
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces.
IUI
Venkatesh Sivaraman, Yiwei Wu, Adam Perer
2022 J jnl
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces.
CoRR
Venkatesh Sivaraman, Yiwei Wu, Adam Perer
2022 J jnl
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions".
CoRR
Logan Stapleton, Hao Fei Cheng, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
2022 A* conf
How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions.
CHI
Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
2022 A* conf
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support.
CHI
Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
2022 J jnl
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support.
CoRR
Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
2022 J jnl
LSTM-RASA Based Agri Farm Assistant for Farmers.
CoRR
Narayana Darapaneni, Selvakumar Raj, Raghul V, Venkatesh Sivaraman, Sunil Mohan, Anwesh Reddy Paduri
2021 Misc conf
Diachronic Analysis of the Evolution of COVID-19 Scientific Literature.
AMIA
Denis R. Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser
2021 J jnl
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media.
CoRR
Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag
2021 J jnl
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media.
J. Biomed. Informatics
Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag
2021 — conf
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora.
NAACL-HLT (Demonstrations)
Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser
2021 J jnl
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora.
CoRR
Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser
2016 A* conf
Simplified Audio Production in Asynchronous Voice-Based Discussions.
CHI
Venkatesh Sivaraman, Dongwook Yoon, Piotr Mitros