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2020 – today
- 2026
[i11]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:
The Design Space of Tri-Modal Masked Diffusion Models. CoRR abs/2602.21472 (2026)- [i10]Jason Ramapuram, Eeshan Gunesh Dhekane, Amitis Shidani, Dan Busbridge, Bogdan Mazoure, Zijin Gu, Russ Webb, Tatiana Likhomanenko, Navdeep Jaitly:
Scaling Properties of Continuous Diffusion Spoken Language Models. CoRR abs/2604.24416 (2026) - [i9]Oscar Davis, Anastasiia Filippova, Pierre Ablin, Victor Turrisi, Amitis Shidani, Marco Cuturi, Louis Béthune:
Scaling Categorical Flow Maps. CoRR abs/2605.07820 (2026) - 2025
- [c5]Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane, Floris Weers, Dan Busbridge, Pierre Ablin, Tatiana Likhomanenko, Jagrit Digani, Zijin Gu, Amitis Shidani, Russell Webb:
Theory, Analysis, and Best Practices for Sigmoid Self-Attention. ICLR 2025 - [c4]Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russell Webb:
Distillation Scaling Laws. ICML 2025 - [i8]Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russ Webb:
Distillation Scaling Laws. CoRR abs/2502.08606 (2025) - [i7]Amitis Shidani, Tyler Farghly, Yang Sun, Habib Ganjgahi, George Deligiannidis:
Beyond Real Data: Synthetic Data through the Lens of Regularization. CoRR abs/2510.08095 (2025) - [i6]Jakub Krajewski, Amitis Shidani, Dan Busbridge, Sam Wiseman, Jason Ramapuram:
Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training. CoRR abs/2512.08894 (2025) - 2024
- [c3]Amitis Shidani, Sattar Vakili:
Optimal Regret Bounds for Collaborative Learning in Bandits. ALT 2024: 1013-1029 - [c2]Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge:
Poly-View Contrastive Learning. ICLR 2024 - [i5]Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russ Webb, Eeshan Gunesh Dhekane, Dan Busbridge:
Poly-View Contrastive Learning. CoRR abs/2403.05490 (2024) - [i4]Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane, Floris Weers, Dan Busbridge, Pierre Ablin, Tatiana Likhomanenko, Jagrit Digani, Zijin Gu, Amitis Shidani, Russ Webb:
Theory, Analysis, and Best Practices for Sigmoid Self-Attention. CoRR abs/2409.04431 (2024) - 2023
- [j1]Arman Aashtab, Saieed Akbari, Maryam Ghanbari, Amitis Shidani:
Vertex partitioning of graphs into odd induced subgraphs. Discuss. Math. Graph Theory 43(2): 385-399 (2023) - [i3]Amitis Shidani, Sattar Vakili:
Optimal Regret Bounds for Collaborative Learning in Bandits. CoRR abs/2312.09674 (2023) - 2022
- [c1]Eugenio Clerico, Amitis Shidani, George Deligiannidis, Arnaud Doucet:
Chained generalisation bounds. COLT 2022: 4212-4257 - [i2]Eugenio Clerico, Amitis Shidani, George Deligiannidis
, Arnaud Doucet:
Chained Generalisation Bounds. CoRR abs/2203.00977 (2022) - [i1]Amitis Shidani, George Deligiannidis, Arnaud Doucet:
Ranking in Contextual Multi-Armed Bandits. CoRR abs/2207.00109 (2022)
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