Alex M. Tseng

According to our database, Alex M. Tseng authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.

Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Tommaso Biancalani, Sergey Levine

CoRR, 2024

Feedback Efficient Online Fine-Tuning of Diffusion Models.

Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion.

Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia

CoRR, 2023

RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion.

Colin A. Grambow, Hayley Weir, Nathaniel L. Diamant, Alex M. Tseng, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang

CoRR, 2023

GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion.

Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia

CoRR, 2023

Improving Graph Generation by Restricting Graph Bandwidth.

Nathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia

Proceedings of the International Conference on Machine Learning, 2023

2022

Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation.

Alex M. Tseng, Tommaso Biancalani, Max M. Shen, Gabriele Scalia

CoRR, 2022

Conditional Diffusion with Less Explicit Guidance via Model Predictive Control.

Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas

CoRR, 2022