Subhashini Venugopalan

68 papers A* 15A 3B 1Misc 4Journal 39Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	WAXAL: A Large-Scale Multilingual African Language Speech Corpus. CoRR Abdoulaye Diack, Perry Nelson, Kwaku Agbesi, Angela Nakalembe, MohamedElfatih MohamedKhair, Vusumuzi Dube, Tavonga Siyavora, Subhashini Venugopalan, Jason Hickey, Uche Okonkwo, Abhishek Bapna, Isaac Wiafe, Raynard Dodzi Helegah, Elikem Doe Atsakpo, Charles Nutrokpor, Fiifi Baffoe Payin Winful, Kafui Kwashie Solaga, Jamal-Deen Abdulai, Akon Obu Ekpezu, Audace Niyonkuru, Samuel Rutunda, Boris Ishimwe, Michael Melese, Engineer Bainomugisha, Joyce Nakatumba-Nabende, Andrew Katumba, Claire Babirye, Jonathan Mukiibi, Vincent Kimani, Samuel Kibacia, James Maina, Fridah Emmah, Ahmed Ibrahim Shekarau, Ibrahim Shehu Adamu, Yusuf Abdullahi, Howard Lakougna, Bob MacDonald, Hadar Shemtov, Aisha Walcott-Bryant, Moustapha Cisse, Avinatan Hassidim, Jeff Dean, Yossi Matias
2025	J	`jnl`	An AI system to help scientists write expert-level empirical software. CoRR Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, Marc Coram, Hao Cui, Jake Garrison, Renee Johnston, Anton Kast, Cory Y. McLean, Peter C. Norgaard, Zahra Shamsi, David Smalling, James Thompson, Subhashini Venugopalan, Brian P. Williams, Chujun He, Sarah Martinson, Martyna Plomecka, Lai Wei, Yuchen Zhou, Qian-Ze Zhu, Matthew Abraham, Erica Brand, Anna Bulanova, Jeffrey A. Cardille, Chris Co, Scott Ellsworth, Grace Joseph, Malcolm Kane, Ryan Krueger, Johan Kartiwa, Daniel J. Liebling, Jan-Matthis Lueckmann, Paul Raccuglia, Xuefei Wang, Katherine Chou, James Manyika, Yossi Matias, John C. Platt, Lizzie Dorfman, Shibl Mourad, Michael P. Brenner
2025	J	`jnl`	CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning. CoRR Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter C. Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean Phing VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael P. Brenner, Viren Jain, Sameera S. Ponda, Subhashini Venugopalan
2025	J	`jnl`	Expert Evaluation of LLM World Models: A High-T CoRR Haoyu Guo, Maria Tikhanovskaya, Paul Raccuglia, Alexey Vlaskin, Chris Co, Daniel J. Liebling, Scott Ellsworth, Matthew Abraham, Elizabeth Dorfman, N. P. Armitage, Chunhan Feng, Antoine Georges, Olivier Gingras, Dominik Kiese, Steven A. Kivelson, Vadim Oganesyan, B. J. Ramshaw, Subir Sachdev, T. Senthil, J. M. Tranquada, Michael P. Brenner, Subhashini Venugopalan, Eun-Ah Kim
2025	J	`jnl`	FEABench: Evaluating Language Models on Multiphysics Reasoning Ability. CoRR Nayantara Mudur, Hao Cui, Subhashini Venugopalan, Paul Raccuglia, Michael P. Brenner, Peter C. Norgaard
2025	J	`jnl`	Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning. CoRR Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin, Marilyn A. Ladewig, Katherine A. Heller, Katrin Tomanek
2025	Misc	`conf`	Speech Recognition with LLMs Adapted to Disordered Speech Using Reinforcement Learning. ICASSP Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin, Marilyn A. Ladewig, Katherine A. Heller, Katrin Tomanek
2025	—	`conf`	The Cloud-Based Geospatial Benchmark: Challenges and LLM Evaluation. TerraBytes Jeffrey A. Cardille, Renee Johnston, Simon Ilyushchenko, Johan Kartiwa, Zahra Shamsi, Matthew Abraham, Khashayar Azad, Kainath Ahmed, Emma Bergeron Quick, Nuala Caughie, Noah Jencz, Karen Dyson, Andrea Puzzi Nicolau, Maria Fernanda Lopez-Ornelas, David Saah, Michael P. Brenner, Subhashini Venugopalan, Sameera S Ponda
2025	J	`jnl`	Towards AI-assisted Academic Writing. CoRR Daniel J. Liebling, Malcolm Kane, Madeleine Grunde-McLaughlin, Ian J. Lang, Subhashini Venugopalan, Michael P. Brenner
2025	Misc	`conf`	Towards a Single ASR Model That Generalizes to Disordered Speech. ICASSP Jimmy Tobin, Katrin Tomanek, Subhashini Venugopalan
2024	A*	`conf`	A Design Space for Intelligent and Interactive Writing Assistants. CHI Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue
2024	J	`jnl`	A Design Space for Intelligent and Interactive Writing Assistants. CoRR Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Shannon Zejiang Shen, Pao Siangliulue
2024	Misc	`conf`	Large Language Models As A Proxy For Human Evaluation In Assessing The Comprehensibility Of Disordered Speech Transcription. ICASSP Katrin Tomanek, Jimmy Tobin, Subhashini Venugopalan, Richard Cave, Katie Seaver, Jordan R. Green, Rus Heywood
2024	J	`jnl`	Quantum Many-Body Physics Calculations with Large Language Models. CoRR Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim
2024	A*	`conf`	SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers. NeurIPS Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan
2024	J	`jnl`	SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers. CoRR Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan
2024	A*	`conf`	SkipWriter: LLM-Powered Abbreviated Writing on Tablets. UIST Zheer Xu, Shanqing Cai, Mukund Varma T., Subhashini Venugopalan, Shumin Zhai
2023	—	`conf`	Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings. ClinicalNLP@ACL Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin
2023	J	`jnl`	Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings. CoRR Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin
2023	A*	`conf`	Is Attention All That NeRF Needs? ICLR Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2023	J	`jnl`	Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion. CoRR Katrin Tomanek, Shanqing Cai, Subhashini Venugopalan
2023	—	`conf`	SpeakFaster Observer: Long-Term Instrumentation of Eye-Gaze Typing for Measuring AAC Communication. CHI Extended Abstracts Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Shaun K. Kane, Meredith Ringel Morris, Richard Cave, Robert L. MacDonald, Jon Campbell, Blair Casey, Emily Kornman, Daniel E. Vance, Jay C. Beavers
2023	Misc	`conf`	Speech Intelligibility Classifiers from 550k Disordered Speech Samples. ICASSP Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang, Katie Seaver, Richard J. N. Cave, Pan-Pan Jiang, Neil Zeghidour, Rus Heywood, Jordan R. Green, Michael P. Brenner
2023	J	`jnl`	Speech Intelligibility Classifiers from 550k Disordered Speech Samples. CoRR Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang, Katie Seaver, Richard J. N. Cave, Pan-Pan Jiang, Neil Zeghidour, Rus Heywood, Jordan R. Green, Michael P. Brenner
2023	J	`jnl`	Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments. CoRR Shanqing Cai, Subhashini Venugopalan, Katie Seaver, Xiang Xiao, Katrin Tomanek, Sri Jalasutram, Meredith Ringel Morris, Shaun K. Kane, Ajit Narayanan, Robert L. MacDonald, Emily Kornman, Daniel E. Vance, Blair Casey, Steve M. Gleason, Philip Q. Nelson, Michael P. Brenner
2022	J	`jnl`	A machine-learning based objective measure for ALS disease severity. npj Digit. Medicine Fernando Vieira, Subhashini Venugopalan, Alan S. Premasiri, Maeve McNally, Aren Jansen, Kevin McCloskey, Michael P. Brenner, Steven Perrin
2022	J	`jnl`	Assessing ASR Model Quality on Disordered Speech using BERTScore. CoRR Jimmy Tobin, Qisheng Li, Subhashini Venugopalan, Katie Seaver, Richard Cave, Katrin Tomanek
2022	—	`conf`	Context-Aware Abbreviation Expansion Using Large Language Models. NAACL-HLT Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
2022	J	`jnl`	Context-Aware Abbreviation Expansion Using Large Language Models. CoRR Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
2022	J	`jnl`	Is Attention All NeRF Needs? CoRR Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2022	A*	`conf`	Sparse Winning Tickets are Data-Efficient Image Recognizers. NeurIPS Mukund Varma T., Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2022	A	`conf`	TRILLsson: Distilled Universal Paralinguistic Speech Representations. INTERSPEECH Joel Shor, Subhashini Venugopalan
2022	J	`jnl`	TRILLsson: Distilled Universal Paralinguistic Speech Representations. CoRR Joel Shor, Subhashini Venugopalan
2021	J	`jnl`	Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases. CoRR Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner
2021	A	`conf`	Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases. Interspeech Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner
2021	A*	`conf`	Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CVPR Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
2021	J	`jnl`	Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. CoRR Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
2021	A*	`conf`	Scaling Symbolic Methods using Gradients for Neural Model Explanation. ICLR Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley
2021	J	`jnl`	Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images. CoRR Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon M. Kleinberg
2020	A*	`conf`	Attribution in Scale and Space. CVPR Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan
2020	J	`jnl`	Attribution in Scale and Space. CoRR Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan
2020	J	`jnl`	Batch equalization with a generative adversarial network. Bioinform. Wesley Wei Qian, Cassandra Xia, Subhashini Venugopalan, Arunachalam Narayanaswamy, Michelle Dimon, George W. Ashdown, Jake Baum, Jian Peng, D. Michael Ando
2020	J	`jnl`	Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. CoRR Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Gregory S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi
2020	J	`jnl`	Scaling Symbolic Methods using Gradients for Neural Model Explanation. CoRR Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick F. Riley
2020	—	`conf`	Scientific Discovery by Generating Counterfactuals Using Image Translation. MICCAI (1) Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Gregory S. Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael P. Brenner, Philip C. Nelson, Avinash V. Varadarajan
2020	J	`jnl`	Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael P. Brenner, Philip Q. Nelson, Avinash V. Varadarajan
2019	J	`jnl`	It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. CoRR Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, João Pereira, Michael P. Brenner, Lee Rubin, Brian Wainger, Marc Berndl
2018	J	`jnl`	Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. CoRR Avinash V. Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A. Keane, Gregory S. Corrado, Lily Peng, Dale R. Webster
2017	A*	`conf`	Captioning Images with Diverse Objects. CVPR Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2017	J	`jnl`	Detecting Cancer Metastases on Gigapixel Pathology Images. CoRR Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Gregory S. Corrado, Jason D. Hipp, Lily Peng, Martin C. Stumpe
2017	J	`jnl`	Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Trans. Pattern Anal. Mach. Intell. Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell
2017	A	`conf`	Semantic Text Summarization of Long Videos. WACV Shagan Sah, Sourabh Kulhare, Allison Gray, Subhashini Venugopalan, Emily Prud'hommeaux, Raymond W. Ptucha
2016	J	`jnl`	Captioning Images with Diverse Objects. CoRR Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2016	A*	`conf`	Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
2016	A*	`conf`	Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. EMNLP Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
2016	J	`jnl`	Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. CoRR Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
2016	A*	`conf`	Multimodal Video Description. ACM Multimedia Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko
2016	J	`jnl`	Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions. CoRR Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell
2015	J	`jnl`	A Multi-scale Multiple Instance Video Description Network. CoRR Huijuan Xu, Subhashini Venugopalan, Vasili Ramanishka, Marcus Rohrbach, Kate Saenko
2015	J	`jnl`	Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
2015	A*	`conf`	Long-term recurrent convolutional networks for visual recognition and description. CVPR Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko
2015	A*	`conf`	Sequence to Sequence - Video to Text. ICCV Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2015	J	`jnl`	Sequence to Sequence - Video to Text. CoRR Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2015	—	`conf`	Translating Videos to Natural Language Using Deep Recurrent Neural Networks. HLT-NAACL Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko
2014	B	`conf`	Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. COLING Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney
2014	J	`jnl`	Long-term Recurrent Convolutional Networks for Visual Recognition and Description. CoRR Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell
2014	J	`jnl`	Translating Videos to Natural Language Using Deep Recurrent Neural Networks. CoRR Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko
2013	A*	`conf`	YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko