p7q-bio.QM

q-bio.QM

20 papers

Energy-based models for atomic-resolution protein conformations

Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives

2004.13167

Hamiltonian ABC

Edward Meeds, Robert Leenders, Max Welling

1503.01916

The performance of modularity maximization in practical contexts

Benjamin H. Good, Yves-Alexandre de Montjoye, Aaron Clauset

0910.0165

Community detection in graphs

Santo Fortunato

0906.0612

Near-optimal RNA-Seq quantification

Nicolas Bray, Harold Pimentel, Páll Melsted, Lior Pachter

1505.02710

Universal Differential Equations for Scientific Machine Learning

Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Ramadhan, Alan Edelman

2001.04385

GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation

Edward Meeds, Max Welling

1401.2838

In silico generation of novel, drug-like chemical matter using the LSTM neural network

Peter Ertl, Richard Lewis, Eric Martin, Valery Polyakov

1712.07449

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency

Robert Geirhos, Kristof Meding, Felix A. Wichmann

2006.16736

Retrosynthetic reaction prediction using neural sequence-to-sequence models

Bowen Liu, Bharath Ramsundar, Prasad Kawthekar, Jade Shi, Joseph Gomes, Quang Luu Nguyen, Stephen Ho, Jack Sloane, Paul Wender, Vijay Pande

1706.01643

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy

2002.04461

Finding large average submatrices in high dimensional data

Andrey A. Shabalin, Victor J. Weigman, Charles M. Perou, Andrew B. Nobel

0905.1682

Markerless tracking of user-defined features with deep learning

Alexander Mathis, Pranav Mamidanna, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Mackenzie W. Mathis, Matthias Bethge

1804.03142

Brain Imaging Generation with Latent Diffusion Models

Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

2209.07162

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

2206.03461

Bayesian computation via empirical likelihood

K. L. Mengersen, P. Pudlo, C. P. Robert

1205.5658

Data-driven Advice for Applying Machine Learning to Bioinformatics Problems

Randal S. Olson, William La Cava, Zairah Mustahsan, Akshay Varik, Jason H. Moore

1708.05070

Two's company, three (or more) is a simplex: Algebraic-topological tools for understanding higher-order structure in neural data

Chad Giusti, Robert Ghrist, Danielle S. Bassett

1601.01704

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi Jaakkola

2402.04997

RetroBridge: Modeling Retrosynthesis with Markov Bridges

Ilia Igashov, Arne Schneuing, Marwin Segler, Michael Bronstein, Bruno Correia

2308.16212