Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU. - Imran S. Haque; Vijay S. Pande (CCGRID, 2010)

PAPER - Accelerating parallel evaluations of ROCS. - Imran S. Haque; Vijay S. Pande (J. Comput. Chem., 2010)

SCISSORS: A Linear-Algebraical Technique to Rapidly Approximate Chemical Similarities. - Imran S. Haque; Vijay S. Pande (J. Chem. Inf. Model., 2010)

SIML: A Fast SIMD Algorithm for Calculating LINGO Chemical Similarities on GPUs and CPUs. - Imran S. Haque; Vijay S. Pande; W. Patrick Walters (J. Chem. Inf. Model., 2010)

Copernicus: a new paradigm for parallel adaptive molecular dynamics. - Sander Pronk; Per Larsson; Iman Pouya; Gregory R. Bowman; Imran S. Haque; Kyle Beauchamp; Berk Hess; Vijay S. Pande; Peter M. Kasson; Erik Lindahl (SC, 2011)

Error Bounds on the SCISSORS Approximation Method. - Imran S. Haque; Vijay S. Pande (J. Chem. Inf. Model., 2011)

Anatomy of High-Performance 2D Similarity Calculations. - Imran S. Haque; Vijay S. Pande; W. Patrick Walters (J. Chem. Inf. Model., 2011)

Accelerating chemical similarity search using GPUs and metric embeddings. - Imran S. Haque (2011)

SCISSORS: Practical Considerations. - Steven M. Kearnes; Imran S. Haque; Vijay S. Pande (J. Chem. Inf. Model., 2014)

METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis. - Kabir Manghnani; Adam Drake; Nathan Wan; Imran S. Haque (CoRR, 2018)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; et al. (ICML, 2021)

RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods. - Maciej Sypetkowski; Morteza Rezanejad; Saber Saberian; Oren Kraus; John Urbanik; James Taylor; Ben Mabey; Mason Victors; Jason Yosinski; Alborz Rezazadeh Sereshkeh; Imran S. Haque; Berton Earnshaw (CVPR Workshops, 2023)

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy. - Kian Kenyon-Dean; Zitong Jerry Wang; John Urbanik; Konstantin Donhauser; Jason S. Hartford; Saber Saberian; Nil Sahin; Ihab Bendidi; Safiye Celik; Marta M. Fay; Juan Sebastián Rodríguez Vera; Imran S. Haque; et al. (CoRR, 2024)

Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data. - Safiye Celik; Jan-Christian Hütter; Sandra Melo Carlos; Nathan H. Lazar; Rahul Mohan; Conor Tillinghast; Tommaso Biancalani; Marta M. Fay; Berton Earnshaw; Imran S. Haque (PLoS Comput. Biol., 2024)

RxRx3-core: Benchmarking drug-target interactions in High-Content Microscopy. - Oren Kraus; Federico Comitani; John Urbanik; Kian Kenyon-Dean; Lakshmanan Arumugam; Saber Saberian; Cas Wognum; Safiye Celik; Imran S. Haque (CoRR, 2025)