Bart van Merrienboer

According to our database1, Bart van Merrienboer authored at least 18 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics.
CoRR, 2024

2023
Halting Time is Predictable for Large Models: A Universality Property and Average-Case Analysis.
Found. Comput. Math., April, 2023

BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics.
CoRR, 2023

In Search for a Generalizable Method for Source Free Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

2022
GradMax: Growing Neural Networks using Gradient Information.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
On the interplay between noise and curvature and its effect on optimization and generalization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Fast Training of Sparse Graph Neural Networks on Dense Hardware.
CoRR, 2019

Information matrices and generalization.
CoRR, 2019

2018
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Automatic differentiation in ML: Where we are and where we should be going.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Tangent: Automatic Differentiation Using Source Code Transformation in Python.
CoRR, 2017

Multiscale sequence modeling with a learned dictionary.
CoRR, 2017

2016
Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

2015
Blocks and Fuel: Frameworks for deep learning.
CoRR, 2015

2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
CoRR, 2014

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation.
Proceedings of SSST@EMNLP 2014, 2014

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.
Proceedings of SSST@EMNLP 2014, 2014

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014


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