| Multi-level variational autoencoder: Learning disentangled representations from grouped observations D Bouchacourt, R Tomioka, S Nowozin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 229 | 2018 |
| How agents see things: On visual representations in an emergent language game D Bouchacourt, M Baroni arXiv preprint arXiv:1808.10696, 2018 | 66 | 2018 |
| A benchmark for systematic generalization in grounded language understanding L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake Advances in neural information processing systems 33, 19861-19872, 2020 | 65 | 2020 |
| Disco nets: Dissimilarity coefficients networks D Bouchacourt, PK Mudigonda, S Nowozin Advances in Neural Information Processing Systems 29, 2016 | 54 | 2016 |
| Permutation equivariant models for compositional generalization in language J Gordon, D Lopez-Paz, M Baroni, D Bouchacourt International Conference on Learning Representations, 2019 | 53 | 2019 |
| Compositionality and generalization in emergent languages R Chaabouni, E Kharitonov, D Bouchacourt, E Dupoux, M Baroni arXiv preprint arXiv:2004.09124, 2020 | 48 | 2020 |
| EGG: a toolkit for research on Emergence of lanGuage in Games E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni arXiv preprint arXiv:1907.00852, 2019 | 36 | 2019 |
| Centralized predictive routing using delay predictability measurements JP Vasseur, G Mermoud, D Bouchacourt US Patent 9,736,056, 2017 | 27 | 2017 |
| Probing technique for predictive routing in computer networks G Mermoud, JP Vasseur, D Bouchacourt US Patent 9,722,905, 2017 | 25 | 2017 |
| Entropy minimization in emergent languages E Kharitonov, R Chaabouni, D Bouchacourt, M Baroni International Conference on Machine Learning, 5220-5230, 2020 | 15 | 2020 |
| Educe: Explaining model decisions through unsupervised concepts extraction D Bouchacourt, L Denoyer arXiv preprint arXiv:1905.11852, 2019 | 15 | 2019 |
| Distributed predictive routing using delay predictability measurements JP Vasseur, G Mermoud, D Bouchacourt US Patent 9,525,617, 2016 | 15 | 2016 |
| Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances D Bouchacourt, M Baroni arXiv preprint arXiv:1905.11871, 2019 | 11 | 2019 |
| Hierarchical hybrid batch-incremental learning G Mermoud, JP Vasseur, D Bouchacourt US Patent 9,547,828, 2017 | 11 | 2017 |
| Think before you act: A simple baseline for compositional generalization C Heinze-Deml, D Bouchacourt arXiv preprint arXiv:2009.13962, 2020 | 6 | 2020 |
| Data compression system S Nowozin, R Tomioka, D Bouchacourt US Patent 10,158,859, 2018 | 6 | 2018 |
| Task-oriented learning of structured probability distributions D Bouchacourt University of Oxford, 2017 | 6 | 2017 |
| Entropy-based latent structured output prediction D Bouchacourt, S Nowozin, MP Kumar Proceedings of the IEEE International Conference on Computer Vision, 2920-2928, 2015 | 6 | 2015 |
| Mastering emergent language: learning to guide in simulated navigation M Mul, D Bouchacourt, E Bruni arXiv preprint arXiv:1908.05135, 2019 | 4 | 2019 |
| Grounding inductive biases in natural images: invariance stems from variations in data D Bouchacourt, M Ibrahim, A Morcos Advances in Neural Information Processing Systems 34, 19566-19579, 2021 | 3 | 2021 |
Marco BaroniICREA Professor (Barcelona)Bestätigte E-Mail-Adresse bei upf.edu
