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2020 – today
- 2024
[i5]Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Colin Sandon, Omid Saremi:
How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad. CoRR abs/2406.06467 (2024)- 2023
- [c3]Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk:
Generalization on the Unseen, Logic Reasoning and Degree Curriculum. ICML 2023: 31-60 - [c2]Emmanuel Abbe, Elisabetta Cornacchia, Aryo Lotfi:
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs. NeurIPS 2023 - [i4]Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk:
Generalization on the Unseen, Logic Reasoning and Degree Curriculum. CoRR abs/2301.13105 (2023) - [i3]Emmanuel Abbe, Elisabetta Cornacchia, Aryo Lotfi:
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs. CoRR abs/2306.16921 (2023) - 2022
- [c1]Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang:
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures. NeurIPS 2022 - [i2]Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang:
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures. CoRR abs/2205.13647 (2022) - 2021
- [i1]Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah:
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE. CoRR abs/2102.00892 (2021)
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