Colin A. Grambow

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Mass Spectrometry

Medical Experts

Multi Document Summarization

Top Venues

J. Chem. Inf. Model.

Publications

Siyuan Chen, Colin A. Grambow, Mojtaba Kadkhodaie Elyaderani, Alireza Sadeghi, Federico Fancellu, Thomas Schaaf
Investigating the Utility of Synthetic Data for Doctor-Patient Conversation Summarization. INTERSPEECH (2023)
Colin A. Grambow, Hayley Weir, Nathaniel L. Diamant, Alex M. Tseng, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang
RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion. CoRR (2023)
Colin A. Grambow, Hayley Weir, Christian N. Cunningham, Tommaso Biancalani, Kangway V. Chuang
CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning. CoRR (2023)
Matthew S. Johnson, Xiaorui Dong, Alon Grinberg Dana, Yunsie Chung, David Farina, Ryan J. Gillis, Mengjie Liu, Nathan W. Yee, Katrin Blondal, Emily J. Mazeau, Colin A. Grambow, A. Mark Payne, Kevin A. Spiekermann, Hao-Wei Pang, C. Franklin Goldsmith, Richard H. West, William H. Green Jr.
RMG Database for Chemical Property Prediction. J. Chem. Inf. Model. 62 (20) (2022)
Mengjie Liu, Alon Grinberg Dana, Matthew S. Johnson, Mark J. Goldman, Agnes Jocher, A. Mark Payne, Colin A. Grambow, Kehang Han, Nathan W. Yee, Emily J. Mazeau, Katrin Blondal, Richard H. West, C. Franklin Goldsmith, William H. Green Jr.
Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation. J. Chem. Inf. Model. 61 (6) (2021)
Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.
Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction. J. Chem. Inf. Model. 60 (6) (2020)
Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction. CoRR (2019)