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Venkatesh Sivaraman
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2020 – today
- 2025
- [j2]Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman:
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments. IEEE Trans. Vis. Comput. Graph. 31(1): 809-819 (2025) - 2024
- [c10]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:
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CHI 2024: 451:1-451:18 - [c9]Venkatesh Sivaraman, Frank Elavsky, Dominik Moritz, Adam Perer:
Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations. IEEE VIS 2024: 16-20 - [i11]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:
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CoRR abs/2402.13437 (2024) - [i10]Unnseo Park, Venkatesh Sivaraman, Adam Perer:
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models. CoRR abs/2404.07148 (2024) - [i9]Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman:
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments. CoRR abs/2408.03274 (2024) - [i8]Venkatesh Sivaraman, Frank Elavsky, Dominik Moritz, Adam Perer:
Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations. CoRR abs/2410.05645 (2024) - 2023
- [c8]Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer:
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care. CHI 2023: 754:1-754:18 - [i7]Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer:
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care. CoRR abs/2302.00096 (2023) - 2022
- [c7]Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
"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 2022: 454-470 - [c6]Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. CHI 2022: 52:1-52:18 - [c5]Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. CHI 2022: 162:1-162:22 - [c4]Venkatesh Sivaraman, Yiwei Wu, Adam Perer:
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces. IUI 2022: 418-432 - [i6]Venkatesh Sivaraman, Yiwei Wu, Adam Perer:
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces. CoRR abs/2202.02641 (2022) - [i5]Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. CoRR abs/2204.02310 (2022) - [i4]Narayana Darapaneni, Selvakumar Raj, Raghul V, Venkatesh Sivaraman, Sunil Mohan, Anwesh Reddy Paduri:
LSTM-RASA Based Agri Farm Assistant for Farmers. CoRR abs/2204.09717 (2022) - [i3]Logan Stapleton, Hao Fei Cheng, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions". CoRR abs/2204.13872 (2022) - 2021
- [j1]Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag:
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media. J. Biomed. Informatics 120: 103844 (2021) - [c3]Denis R. Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
Diachronic Analysis of the Evolution of COVID-19 Scientific Literature. AMIA 2021 - [c2]Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora. NAACL-HLT (Demonstrations) 2021: 106-115 - [i2]Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag:
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media. CoRR abs/2102.06836 (2021) - [i1]Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser:
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora. CoRR abs/2103.11029 (2021)
2010 – 2019
- 2016
- [c1]Venkatesh Sivaraman, Dongwook Yoon, Piotr Mitros:
Simplified Audio Production in Asynchronous Voice-Based Discussions. CHI 2016: 1045-1054
Coauthor Index
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