Carolina Parada

According to our database, Carolina Parada authored at least 33 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.

Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan

CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.

Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada

CoRR, 2024

What Do Foundation Models have to Do With and For HRI?

Carolina Parada

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Generative Expressive Robot Behaviors using Large Language Models.

Karthik Mahadevan, Jonathan Chien, Noah Brown, Zhuo Xu, Carolina Parada, Fei Xia, Andy Zeng, Leila Takayama, Dorsa Sadigh

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Robots That Can See: Leveraging Human Pose for Trajectory Prediction.

Tim Salzmann, Hao-Tien Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley

IEEE Robotics Autom. Lett., November, 2023

YEASTRACT+: a portal for the exploitation of global transcription regulation and metabolic model data in yeast biotechnology and pathogenesis.

Miguel Cacho Teixeira, Romeu Viana, Margarida Palma, Jorge Oliveira, Mónica Galocha, Marta Neves Mota, Diogo Couceiro, Maria Galhardas Pereira, Miguel Antunes, Inês V. Costa, Pedro Pais, Carolina Parada, Claudine Chaouiya, Isabel Sá-Correia, Pedro Tiago Monteiro

Nucleic Acids Res., January, 2023

Robots That Can See: Leveraging Human Pose for Trajectory Prediction.

Tim Salzmann, Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley

CoRR, 2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.

Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan

CoRR, 2023

RT-1: Robotics Transformer for Real-World Control at Scale.

Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag R. Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations.

Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan

CoRR, 2022

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation.

Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony G. Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani

Proceedings of the Conference on Robot Learning, 2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu

Proceedings of the Conference on Robot Learning, 2022

2017

Improved End-of-Query Detection for Streaming Speech Recognition.

Matt Shannon, Gabor Simko, Shuo-Yiin Chang, Carolina Parada

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Endpoint Detection Using Grid Long Short-Term Memory Networks for Streaming Speech Recognition.

Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Gabor Simko, Carolina Parada

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Keyword spotting for Google assistant using contextual speech recognition.

Assaf Hurwitz Michaely, Xuedong Zhang, Gabor Simko, Carolina Parada, Petar S. Aleksic

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection.

Rubén Zazo, Tara N. Sainath, Gabor Simko, Carolina Parada

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Personalized speech recognition on mobile devices.

Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez, Montse Gonzalez Arenas, Kanishka Rao, David Rybach, Ouais Alsharif, Hasim Sak, Alexander Gruenstein, Françoise Beaufays, Carolina Parada

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Convolutional neural networks for small-footprint keyword spotting.

Tara N. Sainath, Carolina Parada

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Compressing deep neural networks using a rank-constrained topology.

Preetum Nakkiran, Raziel Alvarez, Rohit Prabhavalkar, Carolina Parada

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Locally-connected and convolutional neural networks for small footprint speaker recognition.

Yu-hsin Chen, Ignacio López-Moreno, Tara N. Sainath, Mirkó Visontai, Raziel Alvarez, Carolina Parada

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks.

Rohit Prabhavalkar, Raziel Alvarez, Carolina Parada, Preetum Nakkiran, Tara N. Sainath

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Query-by-example keyword spotting using long short-term memory networks.

Guoguo Chen, Carolina Parada, Tara N. Sainath

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Small-footprint keyword spotting using deep neural networks.

Guoguo Chen, Carolina Parada, Georg Heigold

Proceedings of the IEEE International Conference on Acoustics, 2014

2011

OOV Sensitive Named-Entity Recognition in Speech.

Carolina Parada, Mark Dredze, Frederick Jelinek

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Learning Sub-Word Units for Open Vocabulary Speech Recognition.

Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya Rastrow

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Query language modeling for voice search.

Ciprian Chelba, Johan Schalkwyk, Thorsten Brants, Vida Ha, Boulos Harb, Will Neveitt, Carolina Parada, Peng Xu

Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Contextual Information Improves OOV Detection in Speech.

Carolina Parada, Mark Dredze, Denis Filimonov, Frederick Jelinek

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

A spoken term detection framework for recovering out-of-vocabulary words using the web.

Carolina Parada, Abhinav Sethy, Mark Dredze, Frederick Jelinek

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Balancing false alarms and hits in Spoken Term Detection.

Carolina Parada, Abhinav Sethy, Bhuvana Ramabhadran

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Query-by-example Spoken Term Detection For OOV terms.

Carolina Parada, Abhinav Sethy, Bhuvana Ramabhadran

Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008

A Lagrangian tool for modelling ichthyoplankton dynamics.

Christophe Lett, Philippe Verley, Christian Mullon, Carolina Parada, Timothée Brochier, Pierrick Penven, Bruno Blanke

Environ. Model. Softw., 2008

Toward the Ultimate ASR Language Model.

Frederick Jelinek, Carolina Parada

Proceedings of the Text, Speech and Dialogue, 11th International Conference, 2008