Toward the Ultimate ASR Language Model. - Frederick Jelinek; Carolina Parada (TSD, 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)

Query-by-example Spoken Term Detection For OOV terms. - Carolina Parada; Abhinav Sethy; Bhuvana Ramabhadran (ASRU, 2009)

Balancing false alarms and hits in Spoken Term Detection. - Carolina Parada; Abhinav Sethy; Bhuvana Ramabhadran (ICASSP, 2010)

A spoken term detection framework for recovering out-of-vocabulary words using the web. - Carolina Parada; Abhinav Sethy; Mark Dredze; Frederick Jelinek (INTERSPEECH, 2010)

Contextual Information Improves OOV Detection in Speech. - Carolina Parada; Mark Dredze; Denis Filimonov; Frederick Jelinek (HLT-NAACL, 2010)

Query language modeling for voice search. - Ciprian Chelba; Johan Schalkwyk; Thorsten Brants; Vida Ha; Boulos Harb; Will Neveitt; Carolina Parada; Peng Xu (SLT, 2010)

Learning Sub-Word Units for Open Vocabulary Speech Recognition. - Carolina Parada; Mark Dredze; Abhinav Sethy; Ariya Rastrow (ACL, 2011)

OOV Sensitive Named-Entity Recognition in Speech. - Carolina Parada; Mark Dredze; Frederick Jelinek (INTERSPEECH, 2011)

Small-footprint keyword spotting using deep neural networks. - Guoguo Chen; Carolina Parada; Georg Heigold (ICASSP, 2014)

Query-by-example keyword spotting using long short-term memory networks. - Guoguo Chen; Carolina Parada; Tara N. Sainath (ICASSP, 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 (ICASSP, 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 (INTERSPEECH, 2015)

Compressing deep neural networks using a rank-constrained topology. - Preetum Nakkiran; Raziel Alvarez; Rohit Prabhavalkar; Carolina Parada (INTERSPEECH, 2015)

Convolutional neural networks for small-footprint keyword spotting. - Tara N. Sainath; Carolina Parada (INTERSPEECH, 2015)

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 (ICASSP, 2016)

Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection. - Rubén Zazo; Tara N. Sainath; Gabor Simko; Carolina Parada (INTERSPEECH, 2016)

Keyword spotting for Google assistant using contextual speech recognition. - Assaf Hurwitz Michaely; Xuedong Zhang; Gabor Simko; Carolina Parada; Petar S. Aleksic (ASRU, 2017)

Endpoint Detection Using Grid Long Short-Term Memory Networks for Streaming Speech Recognition. - Shuo-Yiin Chang; Bo Li 028; Tara N. Sainath; Gabor Simko; Carolina Parada (INTERSPEECH, 2017)

Improved End-of-Query Detection for Streaming Speech Recognition. - Matt Shannon; Gabor Simko; Shuo-Yiin Chang; Carolina Parada (INTERSPEECH, 2017)

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; et al. (CoRL, 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 010; Fei Xia 002; Sven Mikael Persson; Dmitry Kalashnikov; et al. (CoRL, 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; et al. (CoRR, 2022)

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 (ICRA, 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; et al. (Robotics: Science and Systems, 2023)

Barkour: Benchmarking Animal-level Agility with Quadruped Robots. - Ken Caluwaerts; Atil Iscen; J. Chase Kew; Wenhao Yu 003; Tingnan Zhang; Daniel Freeman; Kuang-Huei Lee; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; et al. (CoRR, 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)

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; et al. (Nucleic Acids Res., 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., 2023)

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. - Zhuo Xu; Hao-Tien Lewis Chiang; Zipeng Fu; Mithun George Jacob; Tingnan Zhang; Tsang-Wei Edward Lee; Wenhao Yu 003; Connor Schenck; David Rendleman; Dhruv Shah; Fei Xia 002; Jasmine Hsu; et al. (CoRL, 2024)

Generative Expressive Robot Behaviors using Large Language Models. - Karthik Mahadevan; Jonathan Chien; Noah Brown; Zhuo Xu; Carolina Parada; Fei Xia 002; Andy Zeng 001; Leila Takayama; Dorsa Sadigh (HRI, 2024)

What Do Foundation Models have to Do With and For HRI? - Carolina Parada (HRI, 2024)

The Design of the Barkour Benchmark for Robot Agility. - Wenhao Yu 003; Ken Caluwaerts; Atil Iscen; J. Chase Kew; Tingnan Zhang; Daniel Freeman; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; Federico Casarini; et al. (IROS, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 2024)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)