Imran S. Haque

18 papers A* 2A 1B 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
RxRx3-core: Benchmarking drug-target interactions in High-Content Microscopy.
CoRR
Oren Kraus, Federico Comitani, John Urbanik, Kian Kenyon-Dean, Lakshmanan Arumugam, Saber Saberian, Cas Wognum, Safiye Celik, Imran S. Haque
2025 A* conf
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy.
ICML
Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason S. Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Juan Sebastián Rodríguez Vera, Marta M. Fay, Imran S. Haque, Oren Kraus
2024 J jnl
Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data.
PLoS Comput. Biol.
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
2024 J jnl
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy.
CoRR
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, Oren Kraus
2023 — conf
RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods.
CVPR Workshops
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
2023 J jnl
RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods.
CoRR
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
2021 A* conf
WILDS: A Benchmark of in-the-Wild Distribution Shifts.
ICML
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, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
2018 J jnl
METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis.
CoRR
Kabir Manghnani, Adam Drake, Nathan Wan, Imran S. Haque
2014 J jnl
SCISSORS: Practical Considerations.
J. Chem. Inf. Model.
Steven M. Kearnes, Imran S. Haque, Vijay S. Pande
2011 — —
Accelerating chemical similarity search using GPUs and metric embeddings.
Imran S. Haque
2011 J jnl
Anatomy of High-Performance 2D Similarity Calculations.
J. Chem. Inf. Model.
Imran S. Haque, Vijay S. Pande, W. Patrick Walters
2011 A conf
Copernicus: a new paradigm for parallel adaptive molecular dynamics.
SC
Sander Pronk, Per Larsson, Iman Pouya, Gregory R. Bowman, Imran S. Haque, Kyle Beauchamp, Berk Hess, Vijay S. Pande, Peter M. Kasson, Erik Lindahl
2011 J jnl
Error Bounds on the SCISSORS Approximation Method.
J. Chem. Inf. Model.
Imran S. Haque, Vijay S. Pande
2010 B conf
Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU.
CCGRID
Imran S. Haque, Vijay S. Pande
2010 J jnl
PAPER - Accelerating parallel evaluations of ROCS.
J. Comput. Chem.
Imran S. Haque, Vijay S. Pande
2010 J jnl
SCISSORS: A Linear-Algebraical Technique to Rapidly Approximate Chemical Similarities.
J. Chem. Inf. Model.
Imran S. Haque, Vijay S. Pande
2010 J jnl
SIML: A Fast SIMD Algorithm for Calculating LINGO Chemical Similarities on GPUs and CPUs.
J. Chem. Inf. Model.
Imran S. Haque, Vijay S. Pande, W. Patrick Walters
2009 J jnl
Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU
CoRR
Imran S. Haque, Vijay S. Pande