Leif Johnson

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All published works

Action	Title	Year	Authors
+ PDF Chat	Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference	2024	Johan Engström Ran Wei Anthony D. McDonald Alfredo García Matthew O’Kelly Leif Johnson
+	Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference	2023	Johan Engström Ran Wei Anthony D. McDonald Alfredo García Matt O'Kelly Leif Johnson
+ PDF Chat	Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities	2019	Khe Chai Sim Françoise Beaufays Arnaud Benard Dhruv Guliani Andreas Kabel Nikhil Khare Tamar Lucassen Petr Zadrazil Harry Zhang Leif Johnson
+ PDF Chat	Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities	2019	Khe Chai Sim Françoise Beaufays Arnaud Benard Dhruv Guliani Andreas Kabel Nikhil Khare Tamar Lucassen Petr Zadrazil Harry Zhang Leif Johnson
+	Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities	2019	Sim Khe Chai Beaufays Francoise Arnaud Benard Dhruv Guliani Andreas Kabel Nikhil Khare Tamar Lucassen Petr Zadrazil Harry Zhang Leif Johnson
+	Switched linear encoding with rectified linear autoencoders	2013	Leif Johnson Craig Corcoran

Common Coauthors

Coauthor	Papers Together
Andreas Kabel	3
Dhruv Guliani	3
Petr Zadrazil	3
Giovanni Motta	3
Arnaud Benard	3
Tamar Lucassen	3
Lillian Zhou	3
Nikhil Khare	3
Françoise Beaufays	2
Khe Chai Sim	2
Anthony D. McDonald	2
Harry Zhang	2
Johan Engström	2
Matthew O’Kelly	1
Alfredo García	1
Ran Wei	1
Sim Khe Chai	1
Beaufays Francoise	1
Ran Wei	1
Alfredo García	1
Matt O'Kelly	1
Craig Corcoran	1
Harry Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	On Using Monolingual Corpora in Neural Machine Translation	2015	Çaǧlar Gülçehre Orhan Fırat Kelvin Xu Kyunghyun Cho Loïc Barrault Huei-Chi Lin Fethi Bougares Holger Schwenk Yoshua Bengio	2
+ PDF Chat	Streaming End-to-end Speech Recognition for Mobile Devices	2019	Yanzhang He Tara N. Sainath Rohit Prabhavalkar Ian McGraw Raziel Álvarez Ding Zhao David Rybach Anjuli Kannan Yonghui Wu Ruoming Pang	2
+ PDF Chat	A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition	2018	Shubham Toshniwal Anjuli Kannan Chung‐Cheng Chiu Yonghui Wu Tara N. Sainath Karen Livescu	2
+ PDF Chat	Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer	2017	Kanishka Rao Haşim Sak Rohit Prabhavalkar	2
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	2
+ PDF Chat	Personalized speech recognition on mobile devices	2016	Ian McGraw Rohit Prabhavalkar Raziel Álvarez Montse Gonzalez Arenas Kanishka Rao David Rybach Ouais Alsharif Haşim Sak Alexander Gruenstein Françoise Beaufays	2
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	2
+	Sequence Transduction with Recurrent Neural Networks	2012	Alex Graves	2
+ PDF Chat	Scaling Active Inference	2020	Alexander Tschantz Manuel Baltieri Anil K. Seth Christopher L. Buckley	1
+	Active inference on discrete state-spaces: A synthesis	2020	Lancelot Da Costa Thomas Parr Noor Sajid Sebastijan Veselič Victorita Neacsu Karl J. Friston	1
+	Active Inference in Robotics and Artificial Agents: Survey and Challenges	2021	Pablo Lanillos Cristian Meo Corrado Pezzato Ajith Anil Meera Mohamed Baioumy Wataru Ohata Alexander Tschantz Beren Millidge Martijn Wisse Christopher L. Buckley	1
+ PDF Chat	The Free Energy Principle for Perception and Action: A Deep Learning Perspective	2022	Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt	1
+ PDF Chat	Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation	2022	Maximilian Igl Dae Woo Kim Alex Kuefler Paul Mougin Punit Shah Kyriacos Shiarlis Dragomir Anguelov Mark Palatucci Brandyn White Shimon Whiteson	1
+	Deep active inference agents using Monte-Carlo methods	2020	Zafeirios Fountas Noor Sajid Pedro A. M. Mediano Karl J. Friston	1
+	Designing Ecosystems of Intelligence from First Principles	2022	Karl J. Friston Maxwell J. D. Ramstead Alex Kiefer Alexander Tschantz Christopher L. Buckley Mahault Albarracin Riddhi J. Pitliya Conor Heins Brennan Klein Beren Millidge	1
+	Cold Fusion: Training Seq2Seq Models Together with Language Models	2017	Anuroop Sriram Heewoo Jun Sanjeev Satheesh Adam Coates	1
+	An active inference model of car following: Advantages and applications	2023	Ran Wei Anthony D. McDonald Alfredo García Gustav Markkula Johan Engström Matthew O’Kelly	1
+	Measuring Surprise in the Wild	2023	Azadeh Dinparastdjadid Isaac Supeene Johan Engström	1
+ PDF Chat	Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments	2011	Yi Sun Faustino Gomez Jürgen Schmidhuber	1
+ PDF Chat	Explaining human interactions on the road by large-scale integration of computational psychological theory	2023	Gustav Markkula Yi-Shin Lin Aravinda Ramakrishnan Srinivasan Jac Billington Matteo Leonetti Amir Hossein Kalantari Yue Yang Yee Mun Lee Ruth Madigan Natasha Merat	1
+	Microscopic Calibration and Validation of Car-Following Models – A Systematic Approach	2013	Martin Treiber Arne Kesting	1
+	Feedback: Beyond Behaviorism	1973	William T. Powers	1
+	Recklessly Approximate Sparse Coding	2012	Misha Denil Nando de Freitas	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+	Cold Fusion: Training Seq2Seq Models Together with Language Models	2017	Anuroop Sriram Heewoo Jun Sanjeev Satheesh Adam Coates	1
+ PDF Chat	Cold Fusion: Training Seq2Seq Models Together with Language Models	2018	Anuroop Sriram Heewoo Jun Sanjeev Satheesh Adam Coates	1
+	MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction	2019	Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov	1