Amitis Shidani

According to our database, Amitis Shidani authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Scaling Categorical Flow Maps.

Oscar Davis, Anastasiia Filippova, Pierre Ablin, Victor Turrisi, Amitis Shidani, Marco Cuturi, Louis Béthune

CoRR, May, 2026

Scaling Properties of Continuous Diffusion Spoken Language Models.

Jason Ramapuram, Eeshan Gunesh Dhekane, Amitis Shidani, Dan Busbridge, Bogdan Mazoure, Zijin Gu, Russ Webb, Tatiana Likhomanenko, Navdeep Jaitly

CoRR, April, 2026

The Design Space of Tri-Modal Masked Diffusion Models.

Louis Béthune, Victor Turrisi, Bruno Kacper Mlodozeniec, Pau Rodríguez López, Lokesh Boominathan, Nikhil Bhendawade, Amitis Shidani, Joris Pelemans, Theo X. Olausson, R. Devon Hjelm, Paul Dixon, João Monteiro, Pierre Ablin, Vishnu Banna, Arno Blaas, Nick Henderson, Kari Noriy, Dan Busbridge, Joshua M. Susskind, Marco Cuturi, Irina Belousova, Luca Zappella, Russ Webb, Jason Ramapuram

CoRR, February, 2026

2025

Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training.

Jakub Krajewski, Amitis Shidani, Dan Busbridge, Sam Wiseman, Jason Ramapuram

CoRR, December, 2025

Beyond Real Data: Synthetic Data through the Lens of Regularization.

Amitis Shidani, Tyler Farghly, Yang Sun, Habib Ganjgahi, George Deligiannidis

CoRR, October, 2025

Distillation Scaling Laws.

Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russell Webb

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

Theory, Analysis, and Best Practices for Sigmoid Self-Attention.

Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane, Floris Weers, Dan Busbridge, Pierre Ablin, Tatiana Likhomanenko, Jagrit Digani, Zijin Gu, Amitis Shidani, Russell Webb

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Poly-View Contrastive Learning.

Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Optimal Regret Bounds for Collaborative Learning in Bandits.

Amitis Shidani, Sattar Vakili

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

Vertex partitioning of graphs into odd induced subgraphs.

Arman Aashtab, Saieed Akbari, Maryam Ghanbari, Amitis Shidani

Discuss. Math. Graph Theory, 2023

2022

Ranking in Contextual Multi-Armed Bandits.

Amitis Shidani, George Deligiannidis, Arnaud Doucet

CoRR, 2022

Chained generalisation bounds.

Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022