Maria Lomeli
Maria Lomeli
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Cited by
Cited by
Toolformer: Language models can teach themselves to use tools
T Schick, J Dwivedi-Yu, R Dessì, R Raileanu, M Lomeli, L Zettlemoyer, ...
arXiv preprint arXiv:2302.04761, 2023
Few-shot learning with retrieval augmented language models
G Izacard, P Lewis, M Lomeli, L Hosseini, F Petroni, T Schick, ...
arXiv preprint arXiv:2208.03299, 2022
Augmented language models: a survey
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
arXiv preprint arXiv:2302.07842, 2023
Kernel Adaptive Metropolis–Hastings.
D Sejdinovic, H Strathmann, M Lomeli-Garcia, C Andrieu, A Gretton
ICML, 1665-1673, 2014
Testing web enabled simulation at scale using metamorphic testing
J Ahlgren, M Berezin, K Bojarczuk, E Dulskyte, I Dvortsova, J George, ...
2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021
General latent feature models for heterogeneous datasets
I Valera, MF Pradier, M Lomeli, Z Ghahramani
The Journal of Machine Learning Research 21 (1), 4027-4075, 2020
Facebook’s cyber–cyber and cyber–physical digital twins
J Ahlgren, K Bojarczuk, S Drossopoulou, I Dvortsova, J George, ...
Evaluation and Assessment in Software Engineering, 1-9, 2021
A marginal sampler for σ-stable Poisson–Kingman mixture models
M Lomelí, S Favaro, YW Teh
Journal of Computational and Graphical Statistics, 2015
Antithetic and Monte Carlo kernel estimators for partial rankings
M Lomeli, M Rowland, A Gretton, Z Ghahramani
Statistics and Computing 29, 1127-1147, 2019
Measurement challenges for cyber cyber digital twins: Experiences from the deployment of Facebook's ww simulation system
K Bojarczuk, N Gucevska, S Lucas, I Dvortsova, M Harman, E Meijer, ...
Proceedings of the 15th ACM/IEEE International Symposium on Empirical …, 2021
On the stick-breaking representation of σ-stable Poisson–Kingman models
S Favaro, M Lomeli, B Nipoti, YW Teh
Electronic Journal of Statistics 8 (1), 1063-1085, 2014
Improving wikipedia verifiability with ai
F Petroni, S Broscheit, A Piktus, P Lewis, G Izacard, L Hosseini, ...
Nature Machine Intelligence 5 (10), 1142-1148, 2023
EditEval: An Instruction-Based Benchmark for Text Improvements
J Dwivedi-Yu, T Schick, Z Jiang, M Lomeli, P Lewis, G Izacard, E Grave, ...
arXiv preprint arXiv:2209.13331, 2022
Testing Web Enabled Simulation at Scale Using Metamorphic Testing. In 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice …
J Ahlgren, ME Berezin, K Bojarczuk, E Dulskyte, I Dvortsova, J George, ...
IEEE, 140ś149, 2021
A hybrid sampler for Poisson–Kingman mixture models
M Lomeli, S Favaro, YW Teh
Advances in Neural Information Processing Systems, 2161-2169, 2015
Sampling and inference for discrete random probability measures in probabilistic programs
B Bloem-Reddy, E Mathieu, A Foster, T Rainforth, YW Teh, H Ge, ...
NIPS Workshop on Advances in Approximate Bayesian Inference, 2017
On a class of σ-stable Poisson–Kingman models and an effective marginalized sampler
S Favaro, M Lomeli, YW Teh
Statistics and Computing 25 (1), 67-78, 2015
Masking schemes for universal marginalisers
D Gautam, M Lomeli, K Gourgoulias, D Thompson, S Johri
Advances in Approximate Bayesian Inference symposium, 2019
Universal marginalizer for amortised inference and embedding of generative models
R Walecki, A Buchard, K Gourgoulias, C Hart, M Lomeli, AKW Navarro, ...
arXiv preprint arXiv:1811.04727, 2018
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
XV Lin, X Chen, M Chen, W Shi, M Lomeli, R James, P Rodriguez, J Kahn, ...
arXiv preprint arXiv:2310.01352, 2023
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