Paul Schanda

According to our database, Paul Schanda authored at least 5 papers between 2019 and 2026.

Collaborative distances:

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

2026

Inference-time optimization for experiment-grounded protein ensemble generation.

Sai Advaith Maddipatla, Anar Rzayev, Marco Pegoraro, Martin Pacesa, Paul Schanda, Ailie Marx, Sanketh Vedula, Alex M. Bronstein

CoRR, February, 2026

2025

Seek and You Shall Fold.

Nadav Bojan Sellam, Meital Bojan, Paul Schanda, Alexander M. Bronstein

CoRR, November, 2025

Representing local protein environments with atomistic foundation models.

Meital Bojan, Sanketh Vedula, Sai Advaith Maddipatla, Nadav Bojan Sellam, Federico Napoli, Paul Schanda, Alex M. Bronstein

CoRR, May, 2025

Inverse problems with experiment-guided AlphaFold.

Sai Advaith Maddipatla, Nadav Bojan Sellam, Meital Bojan, Sanketh Vedula, Paul Schanda, Ailie Marx, Alexander M. Bronstein

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

2019

relax: the analysis of biomolecular kinetics and thermodynamics using NMR relaxation dispersion data.

Sébastien Morin, Troels E. Linnet, Mathilde Lescanne, Paul Schanda, Gary S. Thompson, Martin Tollinger, Kaare Teilum, Stéphane Gagné, Dominique Marion, Christian Griesinger, Martin Blackledge, Edward J. d'Auvergne

Bioinform., 2019