René's URL Explorer Experiment


Title: Vincent Vanhoucke

Open Graph Title: Vincent Vanhoucke

Open Graph Description: My work spans AI, machine learning, autonomy, robotics, audio and visual perception. I am currently a Distinguished Engineer at Waymo. I previously founded and led the robotics research team at Google, and was an early member of the Google Brain team. I co-created the Conference on Robot Learning

Opengraph URL: https://vincent.vanhoucke.com/

direct link

Domain: vincent.vanhoucke.com

Nonehttps://lh3.googleusercontent.com/sitesv/APaQ0SQjiosPujceMKwy775rDKXHgTO9vSn5xmX6E0Xo-qVzwT4eu1qRYRCZW-3yW56XKsxtRv2tEsWikMvpTu7vKcwIKP4rscBsFTFSxTh0KhGNa0D_a1lBuKdaYhsQ69ntKSBVN-xlbJh_zDqoVGF2CqTrUaaZIXeh6FEqUam0HHuzmfLDc_-DuvjQTxUPjS7VzDSLKXKeuOlZ8JM=w1280
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og:typewebsite
og:imagehttps://lh3.googleusercontent.com/sitesv/APaQ0SQjiosPujceMKwy775rDKXHgTO9vSn5xmX6E0Xo-qVzwT4eu1qRYRCZW-3yW56XKsxtRv2tEsWikMvpTu7vKcwIKP4rscBsFTFSxTh0KhGNa0D_a1lBuKdaYhsQ69ntKSBVN-xlbJh_zDqoVGF2CqTrUaaZIXeh6FEqUam0HHuzmfLDc_-DuvjQTxUPjS7VzDSLKXKeuOlZ8JM=w1280

Links:

Vincent Vanhouckehttp://vincent.vanhoucke.com/home
Google Brainhttps://en.wikipedia.org/wiki/Google_Brain
Conference on Robot Learninghttp://www.robot-learning.org/
Deep Learning on Udacityhttps://classroom.udacity.com/courses/ud730
IEEE Transactions on Robot Learninghttps://ieee-ras.org/publications/t-rl
Erdös Number is 3https://www.csauthors.net/distance/paul-erdos/vincent-vanhoucke
http://vincent.vanhoucke.com#h.p_0NHS7wsFohud
http://vanhoucke.medium.comhttp://vanhoucke.medium.com
http://linkedin.com/in/vanhouckehttp://linkedin.com/in/vanhoucke
http://scholar.google.com/citations?user=T7uctwYAAAAJhttp://scholar.google.com/citations?user=T7uctwYAAAAJ
http://vincent.vanhoucke.com#h.1oe1h5x144wi
How Waymo is Using Google’s AI for Driving Traininghttps://www.youtube.com/watch?v=93i4i9MlXx8
From Google Brain to Waymo: The Reality of Physical AIhttps://www.youtube.com/watch?v=MqqYbX8ysq8
YouTubehttps://www.youtube.com/watch?v=0CfMCOzmJZI&list=PLCkt0hth826G9AtnOrQsPbKKD5JmdaMXb
Spotifyhttps://open.spotify.com/show/5KPIkjmfie1uUW1fLwVeNU?si=Z_QKXD7DTiytjGndfDe_BA&nd=1&dlsi=243956a9f3094d0c
Google DeepMind: The Podcasthttps://deepmind.google/the-podcast/
YouTubehttps://www.youtube.com/watch?v=2t2pMtJGv6k
iHearthttps://www.iheart.com/podcast/269-google-deepmind-the-podcas-48983807/episode/waymo-the-future-of-autonomous-driving-305487595/
Unpacking the Breakthroughs and Bottlenecks of Self-Drivinghttps://www.youtube.com/watch?v=Ctuf2Y0MrcA
Spotifyhttps://bit.ly/4gXP8gK
Applehttps://bit.ly/4gU2HNX
IEEE RAS Robotics History Projecthttps://www.ieee-ras.org/roboticshistory/roboticist-detail/roboticistprofile.html?profileid=145
How is AI Helping Advance Robotics?https://www.youtube.com/watch?v=4hgOT88tDew
Elon’s X Machina, Crypto Orbs and a Visit to Google’s Robot Labhttps://www.nytimes.com/2023/07/28/podcasts/elons-x-machina-crypto-orbs-and-a-visit-to-googles-robot-lab.html
The AI Revolutionhttps://www.youtube.com/watch?v=880TBXMuzmk
Helper Robots: Implementation and Policyhttps://www.csis.org/podcasts/does-not-compute/helper-robots-implementation-and-policy
http://vincent.vanhoucke.com#h.p_C3trrT7Mp6Lc
SF Examinerhttps://www.sfexaminer.com/our_partners/an-inside-look-at-waymo-s-new-ai-youtube-series/article_114efc20-eb8f-5d7d-8d76-e5db2850fe54.html
Nob Hill Gazettehttps://www.nobhillgazette.com/partners/an-inside-look-at-waymo-s-new-ai-youtube-series/article_1bc5b7e1-3561-48d6-98b1-fc35507cb2cb.html
Flight Pathhttps://www.linkedin.com/posts/wing-venture-capital_in-our-flight-path-series-industry-leaders-activity-7391923441219825664-Egst
Are Uber And Lyft Becoming Obsolete?https://www.forbes.com/sites/johnwerner/2025/09/29/are-uber-and-lyft-becoming-obsolete/
The Top 100 AI Engineers in Americahttps://aimmediahouse.com/recognitions-lists/the-100-top-ai-engineers-in-america
The Power of AI Convergence for Global Impacthttps://www.linkedin.com/pulse/power-ai-convergence-global-impact-ai-for-good-global-summit-un-72iue/
Will Scaling Solve Robotics?https://spectrum.ieee.org/solve-robotics
Is Robotics about to Have its Own ChatGPT Moment?https://www.technologyreview.com/2024/04/11/1090718/household-robots-ai-data-robotics/
Google DeepMind’s robotics head on general purpose robots, generative AI and office WiFihttps://techcrunch.com/2023/11/04/google-deepminds-robotics-head-on-general-purpose-robots-generative-ai-and-office-ai/
Vincent Vanhoucke (Google DeepMind) : "L’IA va permettre aux robots d’évoluer avec les humains"https://www.lexpress.fr/economie/high-tech/vincent-vanhoucke-deepmindgoogle-lia-va-permettre-aux-robots-devoluer-avec-les-humains-OPMMVI2J4VDYRDNFYIES5FZURQ/
Aided by A.I. Language Models, Google’s Robots Are Getting Smarthttps://www.nytimes.com/2023/07/28/technology/google-robots-ai.html
coverhttps://drive.google.com/file/d/1X2BN51em15d2SK1Igga5zgMTxCfHDL0v/view?usp=drive_link
1https://techcrunch.com/2023/07/28/googles-deepmind-team-highlights-new-system-for-teaching-robots-novel-tasks/
2https://siliconangle.com/2023/07/28/google-unveils-rt-2-ai-language-model-telling-robots/
3https://www.cnet.com/tech/googles-new-ai-tech-lets-you-command-robots-to-throw-away-your-trash/
4https://www.popsci.com/technology/deepmind-google-robot-model/
How the French became the kings of AI… in Silicon Valleyhttps://california18.com/how-the-french-became-the-kings-of-ai-in-silicon-valley/10242822023/
The Open Source Robotics Transformer 1 Aims to Help Robots Learn From Other Robotshttps://www.hackster.io/news/the-open-source-robotics-transformer-1-aims-to-help-robots-learn-from-other-robots-bbe509b1cac0
Video: Google Brain Director on Creating Robots for a Messy World (Like Kitchens!)https://thespoon.tech/video-google-brain-director-on-creating-robots-for-a-messy-world-like-kitchens/
Food robotics pioneers take orders for growing industry appetitehttps://www.therobotreport.com/food-robotics-pioneers-take-orders-for-growing-industry-appetite/
Google robotics could focus on navigation, machines moving from place to placehttps://www.cnet.com/news/google-robotics-could-focus-on-navigation-and-machines-moving-from-place-to-place/
Inside Google’s Rebooted Robotics Programhttps://www.nytimes.com/2019/03/26/technology/google-robotics-lab.html
1https://www.cnbc.com/2019/03/26/robotics-at-google-launches-after-last-attempt-fizzled-out.html
2https://www.businessinsider.com/google-revitalizing-robotics-division-2019-3
3https://www.engadget.com/2019/03/27/googles-robotics-lab-machine-learning/
4https://techcrunch.com/2019/03/27/google-has-scaled-back-moved-forward-with-robotics/
5https://www.theverge.com/2019/3/27/18283645/google-robotics-program-ai-manipulation-vincent-vanhoucke
6https://cheddar.com/media/google-is-rebooting-their-robotics-program
Google Brain’s Vanhoucke on Robots, AI and Programming vs. Learninghttps://thespoon.tech/articlate-qa-google-brains-vanhoucke-on-robots-ai-and-programming-vs-learning/
Google introduces AI for drug discovery protein recognitionhttps://venturebeat.com/2018/07/12/google-introduces-ai-for-drug-discovery-protein-recognition/
1https://theweeklyobserver.com/google-launches-ai-battle-identify-discover-new-proteins/60103/
2https://www.techzine.nl/nieuws/407861/google-brain-ontwikkelt-nieuwe-medische-toepassing-voor-computer-vision.html
3https://www.techzine.nl/nieuws/407861/google-brain-ontwikkelt-nieuwe-medische-toepassing-voor-computer-vision.html
4https://www.leiphone.com/news/201807/xrhbpMQdX1epv0Cu.html
Inside Waymo's Strategy to Grow the Best Brains for Self-Driving Carshttps://www.theverge.com/2018/5/9/17307156/google-waymo-driverless-cars-deep-learning-neural-net-interview
Les 100 Français qui Comptent dans l'Intelligence Artificiellehttps://drive.google.com/file/d/1pg0Ti0QQzkVG8On7ixIu_0n2W-z6gcPx/view?usp=sharing
Profession: Éducateur de Robotshttps://drive.google.com/file/d/1yeexnROoV1WX9iRO2ejCdittDqNiI7-d/view?usp=sharing
Une Nouvelle Intelligence est Néehttps://www.science-et-vie.com/article/algorithmes-une-nouvelle-intelligence-est-nee-8960
How Computer Vision Is Finally Taking Off, After 50 Yearshttps://www.youtube.com/watch?v=eQLcDmfmGB0
Google boosting search to the speed of soundhttp://www.sfgate.com/technology/dotcommentary/article/Google-boosting-search-to-the-speed-of-sound-4732259.php
How Google Retooled Android With Help From Your Brainhttp://www.wired.com/wiredenterprise/2013/02/android-neural-network/
Google Now: behind the predictive future of searchhttp://www.theverge.com/2012/10/29/3569684/google-now-android-4-2-knowledge-graph-neural-networks
Google Puts Its Virtual Brain Technology to Workhttps://www.technologyreview.com/2012/10/05/18401/google-puts-its-virtual-brain-technology-to-work/
Google's Voice and Speech Recognition Software is Paving the Road to Unlimited Mobilityhttp://www.tmcnet.com/channels/speech-recognition/articles/203119-googles-voice-speech-recognition-software-paving-road-unlimited.htm
How Google Is Leading the Way to a Voice-Activated Futurehttp://mashable.com/2011/07/07/voice-technology-google/
Can Google Get Web Users Talking?http://www.technologyreview.com/news/424512/can-google-get-web-users-talking/
http://vincent.vanhoucke.com#h.p_3bWok-wWqGyp
My channelhttps://medium.com/@vanhoucke
Intelligence Artificielle (IA) et Grand Publichttps://drive.google.com/file/d/1g_0JrH5StUnv0eyDVY7CND5zdK9E3tjg/view?usp=sharing
L'Intelligence Humaine au Service de la Machinehttps://drive.google.com/file/d/1ry1ddPEoAB46SeIumThcsbggYYf0w0MF/view?usp=sharing
http://vincent.vanhoucke.com#h.p_6rLdI7jPqguN
Skylight Covershttps://sites.google.com/vanhoucke.com/vincent-diy/diy-skylight-covers
LEGO Tablehttps://sites.google.com/vanhoucke.com/vincent-diy/diy-lego-table
BRIO LEGO Trainhttps://sites.google.com/vanhoucke.com/vincent-diy/diy-brio-lego-train
http://vincent.vanhoucke.com#h.p_J80Ex9jRqcd-
Deep Learninghttps://classroom.udacity.com/courses/ud730
bloghttp://googleresearch.blogspot.com/2016/01/teach-yourself-deep-learning-with.html
postshttp://blog.udacity.com/2016/01/putting-deep-learning-to-work.html
Large Scale Deep Learninghttps://drive.google.com/file/d/1THIrU94E7RNR3LP8gukUW4cH0BNX85WB/view?usp=sharing
http://vincent.vanhoucke.com#h.hxps8u24l52c
IEEE Transactions on Robot Learninghttps://ieee-ras.org/publications/t-rl
Enchanted Toolshttps://enchanted.tools/
Robot Learning Foundationhttps://www.robot-learning.org/
http://vincent.vanhoucke.com#h.p_UQZhKN01rjOb
4th Robot Learning Workshop: Self-Supervised and Lifelong Learninghttp://www.robot-learning.ml/2021/
3rd Robot Learning Workshop: Grounding Machine Learning Development in the Real Worldhttp://www.robot-learning.ml/2020/
Workshop on Exploration in Reinforcement Learninghttps://sites.google.com/view/erl-2018/accepted-papers
1st Conference on Robot Learning (CoRL 2017)http://proceedings.mlr.press/v78/
http://vincent.vanhoucke.com#h.p_aJSb89OVrslq
The Next Revolution of AI: Impact Summit at Stanfordhttps://aisummit-scien.stanford.edu/
The Future of Smart Mobilityhttps://aiforgood.itu.int/event/future-of-smart-mobility/
videohttps://www.youtube.com/watch?v=AFQXjyOIvhA
Driving the Future: Opportunities and Challenges of Autonomous Vehicleshttps://www.itu.int/net4/wsis/forum/2025/en/Agenda/Session/244
How AI can improve mobility for a better futurehttps://fnc.itu.int/fnc-2025-ai4good-global-summitgeneva-ai4good11-july-2025/
Foundation models for autonomous drivinghttps://aiforgood.itu.int/event/foundation-models-for-autonomous-driving/
Data Science for the Physical Worldhttps://drive.google.com/file/d/1DhIYo71j-s_L2lA6ELpoifnWh0EytTLC/view?usp=sharing
Workshop on Perception for Industrial Robotics Automationhttps://pira-workshop.github.io/
Workshop on Robot Evaluation for the Real Worldhttps://sites.google.com/corp/stanford.edu/robot-evaluation-rss-2025
Foundation Models for Autonomous Drivinghttps://drive.google.com/file/d/1qKL5So4hNzNBgUjLBUNsowv5t8mUXNnt/view?usp=sharing
videohttps://youtu.be/A4Lu46q_4kY
Steering towards a Driverless and Robotic Futurehttps://youtu.be/83kVx9SgzFo
AI for Autonomous Driving at Scalehttps://neurips.cc/Expo/Conferences/2024/talk%20panel/100349
CITRIShttps://citris-uc.org/speaker-series-to-feature-trailblazers-in-autonomy-research/
Common Sense, Asimov and the Semantics of Safety in the era of Embodied Foundation Modelshttps://drive.google.com/file/d/185yWUoUY3bAHgloE8CElpyEx_Tg54ZMn/view?usp=sharing
Princeton Symposium on Safe Deployment of Foundation Models in Roboticshttps://ai.princeton.edu/princeton-symposium-safe-deployment-foundation-models-robotics
Winghttps://wing2024.splashthat.com/
Is AI Truly Redefining Roboticshttps://drive.google.com/file/d/14xl0TJ9U55RP-QKPEZXciXm4rVVWsRea/view?usp=sharing
Constitutional Embodied AIhttps://drive.google.com/file/d/11VbDfgCwNzR1DTguBmCzGOQ5O0RjesXV/view?usp=sharing
HRI in the Era of Robot Foundation Modelshttps://drive.google.com/file/d/1QcCHxiyrX_MfblRw9f2LvxZ3GKeVh9_X/view?usp=sharing
AI For Goodhttps://aiforgood.itu.int/
Robotics in the Age of Generative AIhttps://drive.google.com/file/d/1ET8xnXWs8Xbb3l7InPEdlDBOn49WI0x1/view?usp=sharing
videohttps://www.youtube.com/watch?v=vOrhfyMe_EQ
companion posthttps://vanhoucke.medium.com/the-state-of-robot-learning-639dafffbcf8
What Should We Work On Next?https://drive.google.com/file/d/1RyNLTAfj9wc2qRzLkKXLdm3eduOlR254/view?usp=drive_link
What tasks should robotics researchers focus on?https://sites.google.com/corp/view/corl23-task-workshop
Pre-Training for Robot Learninghttps://sites.google.com/corp/view/corl2023-prl/home
Embodied Foundation Modelshttps://drive.google.com/file/d/1ODNjxEdfAeKlZp3nRg9jbPBVUNu0MtvS/view?usp=drive_link
UC Berkeley–NASA Inaugural Symposium on The Future of Skills in the AI Erahttps://fcba.berkeley.edu/the-future-of-skills-in-the-ai-era/
Towards Embodied Foundation Modelshttps://drive.google.com/file/d/19PCikdRgM7-uUWe-iFDj0msNeyFa-QyR/view?usp=share_link
The Future of Robots for Good: The Quest for Embodied AIhttps://drive.google.com/file/d/1H41Wga5ugPtFFkjsNp1jsR_Yo1wD0PiD/view?usp=sharing
AI For Goodhttps://aiforgood.itu.int/
Scaling up Robot Learning at Googlehttps://drive.google.com/file/d/1pN_KkP9c5isV0vwrTj7VmnDRAgVcuKaN/view?usp=sharing
videohttps://youtu.be/TViEbjuO9bU
Humor, Dialog, Affordances, and the Path to Grounded Intelligencehttps://drive.google.com/file/d/1hTcPNy3SlOxbbX42MGTtYMfFAxVCdToy/view?usp=sharing
Research and Engineering Careers for PhDs in Industryhttps://drive.google.com/file/d/1RUUcsD_lUaqOQYNWhcvjSdpa8K_s0n6A/view?usp=sharing
Closing the Perception-Actuation Loop using Machine Learning: New Perspectives and Strategieshttps://drive.google.com/file/d/17WL6lSREzBZZdZr02KAr_TR8364NaTY0/view?usp=sharing
CITRIS Research Exchangehttps://engineering.berkeley.edu/citris-research-exchange-vincent-vanhoucke-2020-02-05
videohttps://www.youtube.com/watch?v=JutX52jtUEM
Collaborative Robots, Advanced Vision & A.I. Conferencehttp://crav.ai
Robot Understanding and Acting in a Messy, Human Worldhttps://drive.google.com/file/d/1ODvLEliztKG2rE3utctW7M7TdY9u0xDE/view?usp=sharing
Articulate, The Food Robotics Summithttps://events.thespoon.tech/Articulate
videohttps://www.youtube.com/watch?v=B7QfK60TmRY
Machine Learning going Metahttps://drive.google.com/file/d/19DswMuvZaWVK5G3-qiaHdFccSATEcirE/view?usp=sharing
Robot Perceptionhttps://drive.google.com/file/d/15XkD6xZzpmE245lMQi7iNsPtUG_3KcZH/view?usp=sharing
Deep Learning: Bringing Machine Intelligence to the Human Worldhttps://drive.google.com/file/d/1gtRY7Bs9fFqhhqQ-fmNg6bmEGIf7sVqt/view?usp=sharing
Silicon Valley Japan Platformhttp://svjp.org/
Learning Robots.https://drive.google.com/file/d/1sV5PQ4EEe75nFdxPBpf1_n3eo_tbNrEV/view?usp=sharing
videohttps://youtu.be/t81QhHaMS7w?t=16m38s
Self-Supervision for Robotic Learninghttps://drive.google.com/file/d/1tSCWFdAS8nqQq_INktigcERdw9myQJaX/view?usp=sharing
videohttps://www.youtube.com/watch?v=sU-bqiwVqfE
Machine Perception: Thinking, Deciding and Acting Like a Humanhttps://drive.google.com/file/d/13YeAJUowMLBMbA5MyFgILXk2dveeBeG1/view?usp=sharing
Silicon Valley Innovation and Entrepreneurship Forum AI+Talkhttp://www.svief.org/AITalk2018/
Simulated Perceptionhttps://drive.google.com/file/d/16mcrwy_4xBxdicc_hNs1UikBtMH5JeFP/view?usp=sharing
Rutberg WIhttp://rutbergco.com/conferences/wi-2017/agenda/
Learning to Co-Designhttps://drive.google.com/file/d/1KaSRCDE65Nn4AafTt9WizgAAFD4paBlk/view?usp=sharing
videohttps://www.youtube.com/watch?v=Mt-682k6Q8g&index=7&list=PLsLWHLZB96VcCeGtxuwChoA8ss3CPQXjr
Generative Adversarial Roboticshttps://drive.google.com/file/d/1qU6uNJihZx0IBsbTQJlMwjPdEQ6vx0sb/view?usp=sharing
Intelligence Artificielle et l'Innovation de Rupturehttps://drive.google.com/file/d/1CJJaz7YYVVyGo8tOnMnu5YbYhTOXGfu3/view?usp=sharing
"OK Google, fold my laundry s'il te plaît"https://drive.google.com/file/d/1G9Jjv8gMRKFlP6CZx9yZiLNHeFtI-Zgc/view?usp=sharing
Visual Representations at Scalehttps://drive.google.com/file/d/1CQdv65YuvGUTHXkczfsHFK9BkNLX4l_G/view?usp=sharing
videohttps://www.youtube.com/watch?v=VhLe-u0M1a8
Acoustic Modeling and Deep Learninghttps://drive.google.com/file/d/1nVHHnsq7T-Su16-4bIMPOuaq4vICAcRO/view?usp=sharing
videohttp://www.youtube.com/watch?v=g6iAOdRsDOM
videohttp://www.youtube.com/watch?v=YGBZGhzlL14&t=8m13s
http://vincent.vanhoucke.com#h.p_82zsVNaSrzsi
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaceshttps://arxiv.org/abs/2505.18441
Gemini Robotics: Bringing AI into the Physical Worldhttps://storage.googleapis.com/deepmind-media/gemini-robotics/gemini_robotics_report.pdf
Achieving  Human  Level  Competitive  Robot  Table  Tennishttps://sites.google.com/view/competitive-robot-table-tennis/home
The  Design  of  the  Barkour  Benchmark  for  Robot  Agilityhttps://ieeexplore.ieee.org/abstract/document/10801377
Learning to Learn Faster from Human Feedback with Language Model Predictive Controlhttps://robot-teaching.github.io/
Open X-Embodiment: Robotic Learning Datasets and RT-X Modelshttps://robotics-transformer-x.github.io/
Robotic Table Tennis: A Case Study into a High Speed Learning Systemhttps://arxiv.org/abs/2309.03315
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlhttps://robotics-transformer2.github.io/
Barkour: Benchmarking animal-level agility with quadruped robots.https://arxiv.org/abs/2305.14654
PaLM-E: An Embodied Multimodal Language Modelhttps://palm-e.github.io/
RT-1: Robotics Transformer for Real-World Control at Scalehttps://robotics-transformer.github.io/
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Researchhttps://sites.google.com/berkeley.edu/cloudfolding
Do As I Can, Not As I Say: Grounding Language in Robotic Affordanceshttps://say-can.github.io
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Languagehttps://socraticmodels.github.io
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemshttps://arxiv.org/abs/2204.11918
datasethttps://app.ignitionrobotics.org/GoogleResearch/fuel/collections/Google%20Scanned%20Objects
Mechanical Search on Shelves using LAX-RAY: Lateral Access X-RAYhttps://arxiv.org/abs/2011.11696
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localizationhttps://arxiv.org/abs/2005.09530
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributionshttps://arxiv.org/abs/2004.09039
Policies Modulating Trajectory Generatorshttp://proceedings.mlr.press/v87/iscen18a.html
Grasp2Vechttp://proceedings.mlr.press/v87/jang18a.html
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulationhttps://arxiv.org/abs/1806.10293
Sim-to-Real: Learning Agile Locomotion For Quadruped Robotshttps://arxiv.org/abs/1804.10332
Classification of Crystallization Outcomes using Deep Convolutional Neural Networkshttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0198883
ArXivhttps://arxiv.org/abs/1803.10342
blog posthttps://ai.googleblog.com/2018/07/automating-drug-discoveries-using.html
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Graspinghttps://arxiv.org/abs/1709.07857
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Videohttps://arxiv.org/abs/1702.00824
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learninghttp://arxiv.org/abs/1602.07261
posterhttps://drive.google.com/file/d/1Pum9RCEAUXwKLSq1j4nG_iqarbWFT_bp/view?usp=sharing
Rethinking the Inception Architecture for Computer Visionhttp://arxiv.org/abs/1512.00567
Real-Time Pedestrian Detection With Deep Network Cascadeshttps://drive.google.com/file/d/1FDs7o48CLNoiS4Uy2U5YX7iPxZYwQsOl/view?usp=sharing
Pedestrian Detection with a Large-Field-Of-View Deep Networkhttps://drive.google.com/file/d/1fzasERlzWZGbcCN51My5O2Uqi3JCOhMJ/view?usp=sharing
Going Deeper with Convolutionshttp://arxiv.org/abs/1409.4842
Autoregressive Product of Multi-frame Predictions Can Improve the Accuracy of Hybrid Modelshttps://drive.google.com/file/d/1XDOCqYeWuTakMYkJyuNN0NiOxa3wvPvM/view?usp=sharing
Asynchronous Stochastic Optimization for Sequence Training of Deep Neural Networkshttps://drive.google.com/file/d/12KxA5RMdxcn9mdIW6GSZa3eL4RQbxOK7/view?usp=sharing
Multiframe Deep Neural Networks for Acoustic Modelinghttps://drive.google.com/file/d/1I5Qcz0etSGgX_OjKH29257pT5V138tUa/view?usp=sharing
Multilingual Acoustic Models using Distributed Deep Neural Networkshttps://drive.google.com/file/d/1SH3pQ1KvYapxzFOFSRxAI_CF_o-3yEN8/view?usp=sharing
On Rectified Linear Units for Speech Processinghttps://drive.google.com/file/d/1hmOaJ8TbQxqkUMT4iGgoqvoNhnWR5sb_/view?usp=sharing
Deep Neural Networks for Acoustic Modeling in Speech Recognition : The Shared Views of Four Research Groupshttps://drive.google.com/file/d/1G_062snnqn42rOQ_gaSajmaX6U8yofVh/view?usp=sharing
Application Of Pretrained Deep Neural Networks To Large Vocabulary Speech Recognitionhttps://drive.google.com/file/d/1C0MjIEXRnKhDdoph1DNhC4HtW3lqbL9o/view?usp=sharing
posterhttps://drive.google.com/file/d/1aC7KVvt2sG6M88uwvjy-ATXoGvtPkB7o/view?usp=sharing
Investigations on Exemplar-based Features for Speech Recognition - Towards Thousands of Hours of Unsupervised, Noisy Datahttps://drive.google.com/file/d/1l2q-hSUP1JY_nEy7wY8LEMcLky2Xi-QJ/view?usp=sharing
Improving the Speed of Neural Networks on CPUshttps://drive.google.com/file/d/1IVsiYc_b6zC1BNVB-VPUKPf5kFFpP1OK/view?usp=sharing
posterhttps://drive.google.com/file/d/1yBDjlN_JAuCwlSCPPQ4m063U7RtO5cez/view?usp=sharing
Unsupervised Discovery and Training of Maximally Dissimilar Cluster Modelshttps://drive.google.com/file/d/1qhaAQ0O86KbMnNl_b14_bGslo6UNuu1W/view?usp=sharing
Reading Text in Consumer Digital Photographshttps://drive.google.com/file/d/18unldmbzbV4THpVlqpkVbSuwTiVvw8NF/view?usp=sharing
Confidence Scoring and Rejection using Multi-Pass Speech Recognitionhttps://drive.google.com/file/d/1LZBSZPzSm3QbV2gmwma6giw-2OFn-B0P/view?usp=sharing
Automatic Training Set Segmentation For Multi-Pass Speech Recognitionhttps://drive.google.com/file/d/1tm6zF7evqoR7HYiAWxpQYs0XHO7Xh0Cs/view?usp=sharing
Design of Compact Acoustic Models through Clustering of Tied-Covariance Gaussianshttps://drive.google.com/file/d/1hY7lmZ1KaYiAzPshfGDTVcv1XInLVwSJ/view?usp=sharing
Mixtures of Inverse Covariances: Covariance Modeling for Gaussian Mixtures with Applications to Automatic Speech Recognitionhttps://drive.google.com/file/d/1qrJBM1_vf9EqRBgYyFfJMBmr9X6K3XeH/view?usp=sharing
Mixtures of Inverse Covarianceshttps://drive.google.com/file/d/10O9J0MuOlI1P8j0j-iLu9X_HFlgnvaGq/view?usp=sharing
Variable Length Mixtures of Inverse Covarianceshttps://drive.google.com/file/d/1as4H8HDxMqs_MHbDChMOGxkAYQBQeMJu/view?usp=sharing
Mixtures of Inverse Covarianceshttps://drive.google.com/file/d/18mwTFVvKydAQT04QV2mv0k5qrSVYLpla/view?usp=sharing
Speaker-Trained Recognition using Allophonic Enrollment Modelshttps://drive.google.com/file/d/1XOdzcDwy2s-lXVt6fLLJI4lFOv-goKU7/view?usp=sharing
Interpretability in Multidimensional Classificationhttps://drive.google.com/file/d/1mRTFHVGbkQnP137svGjS7QOletIVAyS1/view?usp=sharing
Effects of Prompt Style when Navigating through Structured Datahttps://drive.google.com/file/d/13Ix8NoEdBQTmyo4zIyQdg1x4OqJjcRDq/view?usp=sharing
http://vincent.vanhoucke.com#h.p_eQoVY08Yr8Vm
The Opportunities of Foundation Models for Roboticshttps://drive.google.com/file/d/10i4pOffobGAivdeGRXisa_iryH4uIG5m/view?usp=share_link
TF-Agents: A library for Reinforcement Learning in TensorFlowhttps://github.com/tensorflow/agents
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlowhttps://drive.google.com/file/d/0B20Yn-GSaVHGMVlPanRTRlNIRlk/view
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systemshttp://tensorflow.org/whitepaper2015.pdf
Winning entry in the LSUN'15 Scene Classification Challengehttps://drive.google.com/file/d/16rrXNPg6GjnidPzpSwEOlAXG7dd-ys4L/view?usp=sharing
Block Artifact Cancellation in DCT Based Image Compressionhttps://drive.google.com/file/d/1yALNxwo_w-uyje4Sn0qEPoDLqE3wgPP8/view?usp=sharing
Speech Detection in Adverse Conditions using Genetic Programminghttps://drive.google.com/file/d/1VtWgShbt9x1WZIxWG39aUZIpPyzekvxP/view?usp=sharing
http://vincent.vanhoucke.com#h.p_rTjSlJqpsDHH

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