Simona Cocco
researcher ORCID ID = 0000-0002-1852-7789
Facts
8 properties- Instance of
- human
- Date of birth
- 1970
- Occupation
- researcher
- Doctoral advisor
- Michel Peyrard[3]
- Doctoral student
- Lorenzo Posani, Valentina Baldazzi[5][6]
- On focus list of Wikimedia project
- WikiProject COVID-19[8]
🏷️ Also known as
en Simona Cocco
🔖 Identifiers · 8
- ISNI
- 000000000305243X
- ORCID iD
- 0000-0002-1852-7789
- VIAF cluster ID
- 22389964
- IdRef ID
- 081201214
- KBR person ID
- 13997160
- NUKAT ID
- n2019069785
- SHARE Catalogue author ID
- 618776
- Yale LUX ID
- person/f88e2b42-050d-4699-9f0b-11c659aa3552
🔗 Connections
Author of 16
ACE: adaptive cluster expansion for maximum entropy graphical model inference,
Barriers and dynamical paths in alternating Gibbs sampling of restricted Boltzmann machines,
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models,
Direct coevolutionary couplings reflect biophysical residue interactions in proteins,
Disentangling Representations in Restricted Boltzmann Machines without Adversaries,
Functional effects of mutations in proteins can be predicted and interpreted by guided selection of sequence covariation information,
Functional networks from inverse modeling of neural population activity,
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
+8 more
← Authored by 16
ACE: adaptive cluster expansion for maximum entropy graphical model inference,
Barriers and dynamical paths in alternating Gibbs sampling of restricted Boltzmann machines,
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models,
Direct coevolutionary couplings reflect biophysical residue interactions in proteins,
Disentangling Representations in Restricted Boltzmann Machines without Adversaries,
Functional effects of mutations in proteins can be predicted and interpreted by guided selection of sequence covariation information,
Functional networks from inverse modeling of neural population activity,
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
+8 more
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