Michael Cardei

According to our database, Michael Cardei authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Search-Augmented Masked Diffusion Models for Constrained Generation.

Huu Binh Ta, Michael Cardei, Alvaro Velasquez, Ferdinando Fioretto

CoRR, February, 2026

2025

Constrained Language Generation with Discrete Diffusion Models.

Michael Cardei, Jacob K. Christopher, Thomas Hartvigsen, Brian R. Bartoldson, Bhavya Kailkhura, Ferdinando Fioretto

CoRR, March, 2025

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation.

Jacob K. Christopher, Michael Cardei, Jinhao Liang, Ferdinando Fioretto

Proceedings of the International Conference on Neuro-symbolic Systems, 2025

Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion.

Jacob K. Christopher, Brian R. Bartoldson, Tal Ben-Nun, Michael Cardei, Bhavya Kailkhura, Ferdinando Fioretto

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones.

Anurag Ghosh, Shen Zheng, Robert Tamburo, Khiem Vuong, Juan R. Alvarez-Padilla, Hailiang Zhu, Michael Cardei, Nicholas Dunn, Christoph Mertz, Srinivasa G. Narasimhan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Constrained Tabular Diffusion for Finance.

Michael Cardei, Jose Munoz, Oscar Barrera, Shreyas Chandrahas, Partha Saha

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

2024

Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm.

Seha Ay, Michael Cardei, Anne-Marie Meyer, Wei Zhang, Umit Topaloglu

J. Heal. Informatics Res., June, 2024

ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive Through Work Zones.

Anurag Ghosh, Robert Tamburo, Shen Zheng, Juan R. Alvarez-Padilla, Hailiang Zhu, Michael Cardei, Nicholas Dunn, Christoph Mertz, Srinivasa G. Narasimhan

CoRR, 2024

2023

Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm.

Seha Ay, Michael Cardei, Anne-Marie Meyer, Wei Zhang, Umit Topaloglu

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023