Barnabás Póczos
According to our database1,
Barnabás Póczos
authored at least 186 papers
between 2002 and 2023.
Collaborative distances:
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Bibliography
2023
CoRR, 2023
The student becomes the master: Matching GPT3 on Scientific Factual Error Correction.
CoRR, 2023
The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
CoRR, 2022
2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC.
Comput. Softw. Big Sci., December, 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly.
J. Mach. Learn. Res., 2020
CoRR, 2020
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets.
CoRR, 2020
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Interspeech 2020, 2020
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Predicting enhancer-promoter interaction from genomic sequence with deep neural networks.
Quant. Biol., 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 30th British Machine Vision Conference 2019, 2019
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC.
CoRR, 2018
CoRR, 2018
A Flexible Multi-Objective Bayesian Optimization Approach using Random Scalarizations.
CoRR, 2018
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
One Network to Solve Them All - Solving Linear Inverse Problems using Deep Projection Models.
CoRR, 2017
Query efficient posterior estimation in scientific experiments via Bayesian active learning.
Artif. Intell., 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
One Network to Solve Them All - Solving Linear Inverse Problems Using Deep Projection Models.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the Field and Service Robotics, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints.
PLoS Comput. Biol., 2016
CoRR, 2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing.
CoRR, 2015
Exploration and evaluation of AR, MPCA and KL anomaly detection techniques to embankment dam piezometer data.
Adv. Eng. Informatics, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
CoRR, 2014
On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives.
CoRR, 2014
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations.
CoRR, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
Pattern Recognit., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions.
Proceedings of the UAI 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Pattern Anal. Appl., 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs.
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
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
J. Mach. Learn. Res., 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks
CoRR, 2008
Proceedings of the Machine Learning, 2008
2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
2006
Neurocomputing, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
2005
Proceedings of the Machine Learning, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
2003
2002
Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002