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Yutian Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Yutian Chen 001 (Google DeepMind, London, UK)

Bibliography

2024

Efficient LiDAR/inertial-based localization with prior map for autonomous robots.

[BibT_eX]

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Intell. Serv. Robotics, March, 2024

Truthful and Optimal Data Preservation in Base Station-less Sensor Networks: An Integrated Game Theory and Network Flow Approach.

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ACM Trans. Sens. Networks, January, 2024

Load-Balanced Parallel Implementation on GPUs for Multi-Scalar Multiplication Algorithm.

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IACR Trans. Cryptogr. Hardw. Embed. Syst., 2024

Study on Four-Dimensional Evolution of Concentric Traveling Ionospheric Disturbances After Falcon 9 Rocket Launch Using Ionospheric Tomography.

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[DOI]

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IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

[BibT_eX]

[DOI]

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Samuel L. Smith

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Anushan Fernando

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Aleksandar Botev

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George-Cristian Muraru

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Leonard Berrada

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Srivatsan Srinivasan

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Guillaume Desjardins

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Nando de Freitas

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Çaglar Gülçehre

CoRR, 2024

OmniPred: Language Models as Universal Regressors.

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CoRR, 2024

Event-Based Motion Magnification.

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CoRR, 2024

GATS: Gather-Attend-Scatter.

[BibT_eX]

[DOI]

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Claudio Fantacci

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Jurgis Pasukonis

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Jost Tobias Springenberg

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Sergio Gomez Colmenarejo

CoRR, 2024

2023

PyPose v0.6: The Imperative Programming Interface for Robotics.

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Sebastian A. Scherer

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CoRR, 2023

π2vec: Policy Representations with Successor Features.

[BibT_eX]

[DOI]

Gianluca Scarpellini

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Ksenia Konyushkova

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Claudio Fantacci

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CoRR, 2023

GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content.

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CoRR, 2023

Data-VCG: A Data Preservation Game for Base Station-less Sensor Networks with Performance Guarantee.

[BibT_eX]

[DOI]

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Proceedings of the IFIP Networking Conference, 2023

Prize-Collecting Traveling Salesman Problem: A Reinforcement Learning Approach.

[BibT_eX]

[DOI]

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Christopher Gonzalez

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Proceedings of the IEEE International Conference on Communications, 2023

Token Prediction as Implicit Classification to Identify LLM-Generated Text.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Generalist Agent.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Sequential changepoint detection in neural networks with checkpoints.

[BibT_eX]

[DOI]

Michalis K. Titsias

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Jakub Sygnowski

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Stat. Comput., 2022

On Instrumental Variable Regression for Deep Offline Policy Evaluation.

[BibT_eX]

[DOI]

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Çaglar Gülçehre

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Nando de Freitas

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J. Mach. Learn. Res., 2022

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.

[BibT_eX]

[DOI]

CoRR, 2022

Importance Weighting Approach in Kernel Bayes' Rule.

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CoRR, 2022

Metaverse, SED Model, and New Theory of Value.

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Complex., 2022

Towards Learning Universal Hyperparameter Optimizers with Transformers.

[BibT_eX]

[DOI]

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Kazuya Kawakami

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Marc'Aurelio Ranzato

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Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Importance Weighted Kernel Bayes' Rule.

[BibT_eX]

[DOI]

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Proceedings of the International Conference on Machine Learning, 2022

Service Function Chain Placement in Cloud Data Center Networks: A Cooperative Multi-agent Reinforcement Learning Approach.

[BibT_eX]

[DOI]

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Proceedings of the Game Theory for Networks, 2022

Voluntary Data Preservation Mechanism in Base Station-Less Sensor Networks.

[BibT_eX]

[DOI]

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Proceedings of the Game Theory for Networks, 2022

2021

A -40 °C to 140 °C Picowatt CMOS Voltage Reference With 0.25-V Power Supply.

[BibT_eX]

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IEEE Trans. Circuits Syst. II Express Briefs, 2021

Efficient Visual Place Recognition by Adaptive CNN Landmark Matching.

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KSII Trans. Internet Inf. Syst., 2021

Should traditional retailers function as pre-warehouses of online retailers?

[BibT_eX]

[DOI]

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Int. J. Prod. Res., 2021

Shaking the foundations: delusions in sequence models for interaction and control.

[BibT_eX]

[DOI]

Pedro A. Ortega

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Grégoire Delétang

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Jordi Grau-Moya

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Julien Pérolat

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Corentin Tallec

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Emilio Parisotto

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Nando de Freitas

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CoRR, 2021

Regularized Behavior Value Estimation.

[BibT_eX]

[DOI]

Çaglar Gülçehre

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Sergio Gómez Colmenarejo

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Jakub Sygnowski

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Matthew W. Hoffman

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Nando de Freitas

CoRR, 2021

Synth2Aug: Cross-Domain Speaker Recognition with TTS Synthesized Speech.

[BibT_eX]

[DOI]

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Jason Pelecanos

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Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Active Offline Policy Selection.

[BibT_eX]

[DOI]

Ksenia Konyushkova

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Çaglar Gülçehre

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Cosmin Paduraru

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Daniel J. Mankowitz

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Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Area-Efficient Low Quiescent Current Output Capacitor-Less LDO with Fast Transient Response.

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Learning Deep Features in Instrumental Variable Regression.

[BibT_eX]

[DOI]

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Siddarth Srinivasan

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Nando de Freitas

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Proceedings of the 9th International Conference on Learning Representations, 2021

Benchmarks for Deep Off-Policy Evaluation.

[BibT_eX]

[DOI]

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Mohammad Norouzi

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Alexander Novikov

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Michael R. Zhang

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Cosmin Paduraru

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Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Multi-scale and multi-branch feature representation for person re-identification.

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Neurocomputing, 2020

Cloud Annealing: A Novel Simulated Annealing Algorithm Based on Cloud Model.

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IEICE Trans. Inf. Syst., 2020

Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis.

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CoRR, 2020

Towards transformation-resilient provenance detection of digital media.

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[DOI]

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Krishnamurthy Dvijotham

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Sander Dieleman

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Norman Casagrande

CoRR, 2020

Large-scale multilingual audio visual dubbing.

[BibT_eX]

[DOI]

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Brendan Shillingford

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Yannis M. Assael

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Nando de Freitas

CoRR, 2020

2019

Deep mining port scans from darknet.

[BibT_eX]

[DOI]

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Jérôme François

Int. J. Netw. Manag., 2019

Sample Efficient Adaptive Text-to-Speech.

[BibT_eX]

[DOI]

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Yannis M. Assael

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Brendan Shillingford

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Çaglar Gülçehre

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Aäron van den Oord

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Nando de Freitas

Proceedings of the 7th International Conference on Learning Representations, 2019

Germplasm Selection Based on Machine Vision.

[BibT_eX]

[DOI]

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Proceedings of the ICIT 2019, 2019

2018

Salient Feature Selection for CNN-Based Visual Place Recognition.

[BibT_eX]

[DOI]

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IEICE Trans. Inf. Syst., 2018

Bayesian Optimization in AlphaGo.

[BibT_eX]

[DOI]

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Ioannis Antonoglou

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Julian Schrittwieser

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Nando de Freitas

CoRR, 2018

Probabilistic programming with programmable inference.

[BibT_eX]

[DOI]

Vikash K. Mansinghka

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Ulrich Schaechtle

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Martin C. Rinard

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions.

[BibT_eX]

[DOI]

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Aäron van den Oord

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S. M. Ali Eslami

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Danilo J. Rezende

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Nando de Freitas

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Mastering the game of Go without human knowledge.

[BibT_eX]

[DOI]

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Julian Schrittwieser

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Ioannis Antonoglou

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Timothy P. Lillicrap

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George van den Driessche

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Nat., 2017

Parallel Multiscale Autoregressive Density Estimation.

[BibT_eX]

[DOI]

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Aäron van den Oord

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Nal Kalchbrenner

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Sergio Gomez Colmenarejo

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Nando de Freitas

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Learn without Gradient Descent by Gradient Descent.

[BibT_eX]

[DOI]

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Matthew W. Hoffman

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Sergio Gomez Colmenarejo

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Timothy P. Lillicrap

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Matthew M. Botvinick

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Nando de Freitas

Proceedings of the 34th International Conference on Machine Learning, 2017

Profit-based file replication in data intensive cloud data centers.

[BibT_eX]

[DOI]

Muhannad Alghamdi

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Proceedings of the IEEE International Conference on Communications, 2017

Research on Portfolio Optimization Based on Affinity Propagation and Genetic Algorithm.

[BibT_eX]

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Proceedings of the 14th Web Information Systems and Applications Conference, 2017

A Survey on Visual Place Recognition for Mobile Robots Localization.

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Proceedings of the 14th Web Information Systems and Applications Conference, 2017

2016

Sequential Tests for Large-Scale Learning.

[BibT_eX]

[DOI]

Anoop Korattikara

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Neural Comput., 2016

Herded Gibbs Sampling.

[BibT_eX]

[DOI]

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Nando de Freitas

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Mareija Eskelin

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J. Mach. Learn. Res., 2016

Herding as a Learning System with Edge-of-Chaos Dynamics.

[BibT_eX]

[DOI]

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CoRR, 2016

Learning to Learn for Global Optimization of Black Box Functions.

[BibT_eX]

[DOI]

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Matthew W. Hoffman

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Sergio Gomez Colmenarejo

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Timothy P. Lillicrap

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Nando de Freitas

CoRR, 2016

Scalable Discrete Sampling as a Multi-Armed Bandit Problem.

[BibT_eX]

[DOI]

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Zoubin Ghahramani

Proceedings of the 33nd International Conference on Machine Learning, 2016

Data Preservation in Base Station-Less Sensor Networks: A Game Theoretic Approach.

[BibT_eX]

[DOI]

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Proceedings of the Game Theory for Networks, 2016

2015

Subsampling-Based Approximate Monte Carlo for Discrete Distributions.

[BibT_eX]

[DOI]

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Zoubin Ghahramani

CoRR, 2015

Distributed Inference for Dirichlet Process Mixture Models.

[BibT_eX]

[DOI]

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Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data.

[BibT_eX]

[DOI]

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Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Variational Gaussian Process State-Space Models.

[BibT_eX]

[DOI]

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Carl E. Rasmussen

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget.

[BibT_eX]

[DOI]

Anoop Korattikara Balan

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Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Evidence Estimation for Bayesian Partially Observed MRFs.

[BibT_eX]

[DOI]

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Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Distributed and Adaptive Darting Monte Carlo through Regenerations.

[BibT_eX]

[DOI]

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Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior.

[BibT_eX]

[DOI]

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Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation.

[BibT_eX]

[DOI]

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Charless C. Fowlkes

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Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Parametric Herding.

[BibT_eX]

[DOI]

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Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Super-Samples from Kernel Herding.

[BibT_eX]

[DOI]

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Alexander J. Smola

Proceedings of the UAI 2010, 2010

Data Caching in Ad Hoc Networks Using Game-Theoretic Analysis.

[BibT_eX]

[DOI]

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Proceedings of the IEEE International Conference on Sensor Networks, 2010

On Herding and the Perceptron Cycling Theorem.

[BibT_eX]

[DOI]

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Laurens van der Maaten

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Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Automatic construction and visualization of address models.

[BibT_eX]

[DOI]

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Proceedings of the Sixth International Conference on Natural Computation, 2010

Dynamical Products of Experts for Modeling Financial Time Series.

[BibT_eX]

[DOI]

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Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Bayesian Extreme Components Analysis.

[BibT_eX]

[DOI]

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Proceedings of the IJCAI 2009, 2009

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