Marco Bondaschi

Orcid: 0000-0002-4158-2487

According to our database1, Marco Bondaschi authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Alpha-NML Universal Predictors.
IEEE Trans. Inf. Theory, February, 2025

2024
Batch Normalization Decomposed.
CoRR, 2024

Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains.
CoRR, 2024

Transformers on Markov data: Constant depth suffices.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Local to Global: Learning Dynamics and Effect of Initialization for Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Batch Universal Prediction.
Proceedings of the IEEE International Symposium on Information Theory, 2024

LASER: Linear Compression in Wireless Distributed Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022
Mismatched Decoding Reliability Function at Zero Rate.
IEEE Trans. Inf. Theory, 2022

A Revisitation of Low-Rate Bounds on the Reliability Function of Discrete Memoryless Channels for List Decoding.
IEEE Trans. Inf. Theory, 2022

2021
Zero-rate Reliability Function for Mismatched Decoding.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Revisiting Zero-Rate Bounds on the Reliability Function of Discrete Memoryless Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2020


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