| Understanding tables with intermediate pre-training JM Eisenschlos, S Krichene, T Müller arXiv preprint arXiv:2010.00571, 2020 | 110 | 2020 |
| Open domain question answering over tables via dense retrieval J Herzig, T Müller, S Krichene, JM Eisenschlos arXiv preprint arXiv:2103.12011, 2021 | 94 | 2021 |
| Deplot: One-shot visual language reasoning by plot-to-table translation F Liu, JM Eisenschlos, F Piccinno, S Krichene, C Pang, K Lee, M Joshi, ... arXiv preprint arXiv:2212.10505, 2022 | 78 | 2022 |
| Matcha: Enhancing visual language pretraining with math reasoning and chart derendering F Liu, F Piccinno, S Krichene, C Pang, K Lee, M Joshi, Y Altun, N Collier, ... arXiv preprint arXiv:2212.09662, 2022 | 67 | 2022 |
| Learning nonsymmetric determinantal point processes M Gartrell, VE Brunel, E Dohmatob, S Krichene Advances in Neural Information Processing Systems 32, 2019 | 48 | 2019 |
| Efficient bregman projections onto the simplex W Krichene, S Krichene, A Bayen 2015 54th IEEE Conference on Decision and Control (CDC), 3291-3298, 2015 | 39 | 2015 |
| Table-to-text generation and pre-training with tabt5 E Andrejczuk, JM Eisenschlos, F Piccinno, S Krichene, Y Altun arXiv preprint arXiv:2210.09162, 2022 | 28 | 2022 |
| Convergence of heterogeneous distributed learning in stochastic routing games S Krichene, W Krichene, R Dong, A Bayen 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 25 | 2015 |
| Convergence of mirror descent dynamics in the routing game W Krichene, S Krichene, A Bayen 2015 European Control Conference (ECC), 569-574, 2015 | 22 | 2015 |
| DoT: An efficient Double Transformer for NLP tasks with tables S Krichene, T Müller, JM Eisenschlos arXiv preprint arXiv:2106.00479, 2021 | 15 | 2021 |
| TAPAS at SemEval-2021 task 9: Reasoning over tables with intermediate pre-training T Müller, JM Eisenschlos, S Krichene arXiv preprint arXiv:2104.01099, 2021 | 14 | 2021 |
| Improving Evolutionary Strategies with Generative Neural Networks L Faury, C Calauzenes, O Fercoq, S Krichene arXiv preprint arXiv:1901.11271, 2019 | 8 | 2019 |
| Convergence of stochastic mirror descent and applications to distributed optimization S Krichene, W Krichene, R Dong, A Bayen Internation Conference on Machine Learning (ICML), in review, 2015 | 3 | 2015 |
| Faithful Chart Summarization with ChaTS-Pi S Krichene, F Piccinno, F Liu, JM Eisenschlos arXiv preprint arXiv:2405.19094, 2024 | 1 | 2024 |
| Systems and methods for training language models to reason over tables T Müller, J Herzig, P Nowak, J Eisenschlos, F Piccinno, S Krichene US Patent 11,868,381, 2024 | 1 | 2024 |
| Embedding models for recommendation under contextual constraints S Krichene, M Gartrell, C Calauzenes arXiv preprint arXiv:1907.01637, 2019 | 1 | 2019 |
| Accelerated refresh of Generalized Linear Models in production M Kirchmeyer, S Krichene, E Kharitonov | 1 | 2018 |
| Systems and methods for training language models to reason over tables T Müller, J Herzig, P Nowak, J Eisenschlos, F Piccinno, S Krichene US Patent App. 18/513,981, 2024 | | 2024 |
| MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering C Pang, F Liu, F Piccinno, JM Eisenschlos, K Lee, M Joshi, N Collier, ... | | 2022 |
| DePlot: One-shot visual language understanding by plot-to-text translation C Pang, F Liu, F Piccinno, JM Eisenschlos, K Lee, M Joshi, N Collier, ... | | 2022 |
