Effects of Prompt Style when Navigating through Structured Data. - Vincent Vanhoucke; W. Lawrence Neeley Jr.; Maria Mortati; Michael Sloan; Clifford Nass (INTERACT, 2001)

Variable length mixtures of inverse covariances. - Vincent Vanhoucke; Ananth Sankar (INTERSPEECH, 2003)

Design of compact acoustic models through clustering of tied-covariance Gaussians. - Mark Z. Mao; Vincent Vanhoucke (INTERSPEECH, 2004)

Mixtures of inverse covariances. - Vincent Vanhoucke; Ananth Sankar (IEEE Trans. Speech Audio Process., 2004)

Automatic Training Set Segmentation for Multi-pass Speech Recognition. - Mark Z. Mao; Vincent Vanhoucke; Brian Strope (ICASSP (1), 2005)

Confidence scoring and rejection using multi-pass speech recognition. - Vincent Vanhoucke (INTERSPEECH, 2005)

Reading text in consumer digital photographs. - Vincent Vanhoucke; Burak Gokturk (DRR, 2007)

Unsupervised discovery and training of maximally dissimilar cluster models. - Françoise Beaufays; Vincent Vanhoucke; Brian Strope (INTERSPEECH, 2010)

Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data. - Georg Heigold; Patrick Nguyen; Mitchel Weintraub; Vincent Vanhoucke (ICASSP, 2012)

Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition. - Navdeep Jaitly; Patrick Nguyen; Andrew W. Senior; Vincent Vanhoucke (INTERSPEECH, 2012)

Multilingual acoustic models using distributed deep neural networks. - Georg Heigold; Vincent Vanhoucke; Andrew W. Senior; Patrick Nguyen; Marc'Aurelio Ranzato; Matthieu Devin; Jeffrey Dean (ICASSP, 2013)

Multiframe deep neural networks for acoustic modeling. - Vincent Vanhoucke; Matthieu Devin; Georg Heigold (ICASSP, 2013)

On rectified linear units for speech processing. - Matthew D. Zeiler; Marc'Aurelio Ranzato; Rajat Monga; Mark Z. Mao; K. Yang; Quoc Viet Le; Patrick Nguyen; Andrew W. Senior; Vincent Vanhoucke; Jeffrey Dean; Geoffrey E. Hinton (ICASSP, 2013)

Asynchronous stochastic optimization for sequence training of deep neural networks. - Georg Heigold; Erik McDermott; Vincent Vanhoucke; Andrew W. Senior; Michiel Bacchiani (ICASSP, 2014)

Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models. - Navdeep Jaitly; Vincent Vanhoucke; Geoffrey E. Hinton (INTERSPEECH, 2014)

Real-Time Pedestrian Detection with Deep Network Cascades. - Anelia Angelova; Alex Krizhevsky; Vincent Vanhoucke; Abhijit S. Ogale; Dave Ferguson (BMVC, 2015)

Going deeper with convolutions. - Christian Szegedy; Wei Liu 015; Yangqing Jia; Pierre Sermanet; Scott E. Reed; Dragomir Anguelov; Dumitru Erhan; Vincent Vanhoucke; Andrew Rabinovich (CVPR, 2015)

Pedestrian detection with a Large-Field-Of-View deep network. - Anelia Angelova; Alex Krizhevsky; Vincent Vanhoucke (ICRA, 2015)

Rethinking the Inception Architecture for Computer Vision. - Christian Szegedy; Vincent Vanhoucke; Sergey Ioffe; Jonathon Shlens; Zbigniew Wojna (CVPR, 2016)

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. - Martín Abadi; Ashish Agarwal; Paul Barham 001; Eugene Brevdo; Zhifeng Chen; Craig Citro; Gregory S. Corrado; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Ian J. Goodfellow; et al. (CoRR, 2016)

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. - Christian Szegedy; Sergey Ioffe; Vincent Vanhoucke (CoRR, 2016)

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. - Christian Szegedy; Sergey Ioffe; Vincent Vanhoucke; Alexander A. Alemi (AAAI, 2017)

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video. - Esteban Real; Jonathon Shlens; Stefano Mazzocchi; Xin Pan; Vincent Vanhoucke (CVPR, 2017)

Learning to co-design. - Vincent Vanhoucke (TIML@ISCA, 2017)

TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow. - Danijar Hafner; James Davidson; Vincent Vanhoucke (CoRR, 2017)

Policies Modulating Trajectory Generators. - Atil Iscen; Ken Caluwaerts; Jie Tan 001; Tingnan Zhang; Erwin Coumans; Vikas Sindhwani; Vincent Vanhoucke (CoRL, 2018)

Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. - Eric Jang; Coline Devin; Vincent Vanhoucke; Sergey Levine (CoRL, 2018)

Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. - Dmitry Kalashnikov; Alex Irpan; Peter Pastor; Julian Ibarz; Alexander Herzog; Eric Jang; Deirdre Quillen; Ethan Holly; Mrinal Kalakrishnan; Vincent Vanhoucke; Sergey Levine (CoRL, 2018)

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping. - Konstantinos Bousmalis; Alex Irpan; Paul Wohlhart; Yunfei Bai; Matthew Kelcey; Mrinal Kalakrishnan; Laura Downs; Julian Ibarz; Peter Pastor; Kurt Konolige; Sergey Levine; Vincent Vanhoucke (ICRA, 2018)

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. - Jie Tan 001; Tingnan Zhang; Erwin Coumans; Atil Iscen; Yunfei Bai; Danijar Hafner; Steven Bohez; Vincent Vanhoucke (Robotics: Science and Systems, 2018)

Classification of crystallization outcomes using deep convolutional neural networks. - Andrew E. Bruno; Patrick Charbonneau; Janet Newman; Edward H. Snell; David R. So; Vincent Vanhoucke; Shawn Williams; Julie Wilson (CoRR, 2018)

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. - Dmitry Kalashnikov; Alex Irpan; Peter Pastor; Julian Ibarz; Alexander Herzog; Eric Jang; Deirdre Quillen; Ethan Holly; Mrinal Kalakrishnan; Vincent Vanhoucke; Sergey Levine (CoRR, 2018)

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. - Péter Karkus; Anelia Angelova; Vincent Vanhoucke; Rico Jonschkowski (ICRA, 2020)

X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. - Michael Danielczuk; Anelia Angelova; Vincent Vanhoucke; Ken Goldberg (IROS, 2020)

Mechanical Search on Shelves using Lateral Access X-RAY. - Huang Huang; Marcus Dominguez-Kuhne; Vishal Satish; Michael Danielczuk; Kate Sanders 002; Jeffrey Ichnowski; Andrew Lee; Anelia Angelova; Vincent Vanhoucke; Ken Goldberg (IROS, 2021)

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)

Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items. - Laura Downs; Anthony Francis; Nate Koenig; Brandon Kinman; Ryan Hickman; Krista Reymann; Thomas Barlow McHugh; Vincent Vanhoucke (ICRA, 2022)

Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research. - Ryan Hoque; Kaushik Shivakumar; Shrey Aeron; Gabriel Deza; Aditya Ganapathi; Adrian Wong; Johnny Lee; Andy Zeng 001; Vincent Vanhoucke; Ken Goldberg (IROS, 2022)

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. - Andy Zeng 001; Adrian Wong; Stefan Welker; Krzysztof Choromanski; Federico Tombari; Aveek Purohit; Michael S. Ryoo; Vikas Sindhwani; Johnny Lee; Vincent Vanhoucke; Pete Florence (CoRR, 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)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. - Andy Zeng 001; Maria Attarian; Brian Ichter; Krzysztof Marcin Choromanski; Adrian Wong; Stefan Welker; Federico Tombari; Aveek Purohit; Michael S. Ryoo; Vikas Sindhwani; Johnny Lee; Vincent Vanhoucke; et al. (ICLR, 2023)

PaLM-E: An Embodied Multimodal Language Model. - Danny Driess; Fei Xia 002; Mehdi S. M. Sajjadi; Corey Lynch; Aakanksha Chowdhery; Brian Ichter; Ayzaan Wahid; Jonathan Tompson; Quan Vuong; Tianhe Yu; Wenlong Huang; Yevgen Chebotar; et al. (ICML, 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)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; 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)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Jonathan Abelian; Saminda Abeyruwan; Michael Ahn; Alex Bewley; Justin Boyd; Krzysztof Choromanski; Omar Cortes; Erwin Coumans; Tianli Ding; Wenbo Gao; Laura Graesser; et al. (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 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)

Achieving Human Level Competitive Robot Table Tennis. - David B. D'Ambrosio; Saminda Abeyruwan; Laura Graesser; Atil Iscen; Heni Ben Amor; Alex Bewley; Barney J. Reed; Krista Reymann; Leila Takayama; Yuval Tassa; Krzysztof Choromanski; Erwin Coumans; 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)

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces. - Romeo Valentin; Sydney M. Katz; Vincent Vanhoucke; Mykel J. Kochenderfer (CoRR, 2025)