Mattia Opper

According to our database, Mattia Opper authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bootstrapping Embeddings for Low Resource Languages.

Merve Basoz, Andrew Horne, Mattia Opper

CoRR, March, 2026

2025

TRA: Better Length Generalisation with Threshold Relative Attention.

Mattia Opper, Roland Fernandez, Paul Smolensky, Jianfeng Gao

Trans. Mach. Learn. Res., 2025

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks.

Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Adam Davies, Jianfeng Gao

J. Artif. Intell. Res., 2025

Banyan: Improved Representation Learning with Explicit Structure.

Mattia Opper, N. Siddharth

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks.

Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Jianfeng Gao

CoRR, 2024

Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less.

Mattia Opper, Siddharth Narayanaswamy

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations.

Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Starting Small, After All? Curriculum Learning with Child-Directed Speech.

Mattia Opper, Sydelle de Souza

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

On the effect of curriculum learning with developmental data for grammar acquisition.

Mattia Opper, J. Morrison, N. Siddharth

CoRR, 2023

StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure.

Mattia Opper, Victor Prokhorov, Siddharth Narayanaswamy

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023