Marianne Arriola

According to our database, Marianne Arriola authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Learn from Your Mistakes: Self-Correcting Masked Diffusion Models.

Yair Schiff, Omer Belhasin, Roy Uziel, Guanghan Wang, Marianne Arriola, Gilad Turok, Michael Elad, Volodymyr Kuleshov

CoRR, February, 2026

2025

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference.

Marianne Arriola, Yair Schiff, Hao Phung, Aaron Gokaslan, Volodymyr Kuleshov

CoRR, October, 2025

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models.

Marianne Arriola, Aaron Gokaslan, Justin T. Chiu, Zhihan Yang, Zhixuan Qi, Jiaqi Han, Subham Sekhar Sahoo, Volodymyr Kuleshov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Simple and Effective Masked Diffusion Language Models.

Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander M. Rush, Volodymyr Kuleshov

CoRR, 2024

Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities.

Marianne Arriola, Weishen Pan, Manqi Zhou, Qiannan Zhang, Chang Su, Fei Wang

CoRR, 2024

Simple and Effective Masked Diffusion Language Models.

Subham S. Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander Rush, Volodymyr Kuleshov

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