FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing. - Javier M. Duarte; Philip C. Harris; Scott Hauck; Burt Holzman; Shih-Chieh Hsu; Sergo Jindariani; Suffian Khan; Benjamin Kreis; Brian Lee; Mia Liu; Vladimir Loncar; Jennifer Ngadiuba; et al. (Comput. Softw. Big Sci., 2019)

Toward Large-Scale Image Segmentation on Summit. - Sudip K. Seal; Seung-Hwan Lim; Dali Wang; Jacob D. Hinkle; Dalton D. Lunga; Aristeidis Tsaris (ICPP, 2020)

Track Seeding and Labelling with Embedded-space Graph Neural Networks. - Nicholas Choma; Daniel Murnane; Xiangyang Ju; Paolo Calafiura; Sean Conlon; Steven Farrell; Prabhat; Giuseppe Cerati; Lindsey Gray; Thomas Klijnsma; Jim Kowalkowski; Panagiotis Spentzouris; et al. (CoRR, 2020)

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. - Aymen Al Saadi; Dario Alfè; Yadu N. Babuji; Agastya Bhati; Ben Blaiszik; Alexander Brace; Thomas S. Brettin; Kyle Chard; Ryan Chard; Austin Clyde; Peter V. Coveney; Ian T. Foster; et al. (ICPP, 2021)

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (MLHPC@SC, 2021)

Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach. - Aristeidis Tsaris; Jacob D. Hinkle; Dalton D. Lunga; Philipe Ambrozio Dias (RSDHA@SC, 2021)

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (CoRR, 2021)

Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification. - Folami Alamudun; Jacob D. Hinkle; Sajal Dash; Benjamín Hernández; Aristeidis Tsaris; Hong-Jun Yoon (IEEE Big Data, 2022)

A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems. - Sajal Dash; Benjamín Hernández; Aristeidis Tsaris; Folami T. Alamudun; Hong-Jun Yoon; Feiyi Wang (IPDPS Workshops, 2022)

Image transformers for classifying acute lymphoblastic leukemia. - Priscilla Cho; Sajal Dash; Aristeidis Tsaris; Hong-Jun Yoon (Computer-Aided Diagnosis, 2022)

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. - Xiao Wang 004; Aristeidis Tsaris; Debangshu Mukherjee; Mohamed Wahib; Peng Chen 035; Mark Oxley; Olga Ovchinnikova; Jacob D. Hinkle (SC, 2022)

AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. - Jeyan Thiyagalingam; Gregor von Laszewski; Junqi Yin; Murali Emani; Juri Papay; Gregg Barrett; Piotr Luszczek; Aristeidis Tsaris; Christine R. Kirkpatrick; Feiyi Wang; Tom Gibbs; Venkatram Vishwanath; et al. (ISC Workshops, 2022)

Language models for the prediction of SARS-CoV-2 inhibitors. - Andrew E. Blanchard; John Gounley; Debsindhu Bhowmik; Mayanka Chandra Shekar; Isaac Lyngaas; Shang Gao 008; Junqi Yin; Aristeidis Tsaris; Feiyi Wang; Jens Glaser (Int. J. High Perform. Comput. Appl., 2022)

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action. - Anda Trifan; Defne Gorgun; Michael Salim; Zongyi Li; Alexander Brace; Maxim Zvyagin; Heng Ma; Austin Clyde; David Clark; David J. Hardy; Tom Burnley; Lei Huang 019; et al. (Int. J. High Perform. Comput. Appl., 2022)

Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation. - Philipe A. Dias; Yuxin Tian; Shawn D. Newsam; Aristeidis Tsaris; Jacob D. Hinkle; Dalton D. Lunga (IEEE Trans. Geosci. Remote. Sens., 2022)

An Agenda for Multimodal Foundation Models for Earth Observation. - Philipe A. Dias; Abhishek Potnis; Sreelekha Guggilam; Lexie Yang; Aristeidis Tsaris; Henry Medeiros 001; Dalton D. Lunga (IGARSS, 2023)

A comparison of histopathology imaging comprehension algorithms based on multiple instance learning. - Adam Saunders; Sajal Dash; Aristeidis Tsaris; Hong-Jun Yoon (Digital and Computational Pathology, 2023)

Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. - Aristeidis Tsaris; Joshua Romero; Thorsten Kurth; Jacob D. Hinkle; Hong-Jun Yoon; Feiyi Wang; Sajal Dash; Georgia D. Tourassi (PASC, 2023)

Ultra-Long Sequence Distributed Transformer. - Xiao Wang 004; Isaac Lyngaas; Aristeidis Tsaris; Peng Chen 035; Sajal Dash; Mayanka Chandra Shekar; Tao Luo 014; Hong-Jun Yoon; Mohamed Wahib; John Gounley (CoRR, 2023)

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. - Philipe A. Dias; Aristeidis Tsaris; Jordan Bowman; Abhishek Potnis; Jacob Arndt; Hsiuhan Lexie Yang; Dalton D. Lunga (SIGSPATIAL/GIS, 2024)

Pretraining Billion-Scale Geospatial Foundational Models on Frontier. - Aristeidis Tsaris; Philipe Ambrozio Dias; Abhishek Potnis; Junqi Yin; Feiyi Wang; Dalton D. Lunga (IPDPS (Workshops), 2024)

ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. - Xiao Wang 004; Siyan Liu; Aristeidis Tsaris; Jong-Youl Choi; Ashwin M. Aji; Ming Fan; Wei Zhang 261; Junqi Yin; Moetasim Ashfaq; Dan Lu 001; Prasanna Balaprakash (SC, 2024)

ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. - Xiao Wang 004; Aristeidis Tsaris; Siyan Liu; Jong-Youl Choi; Ming Fan; Wei Zhang 261; Junqi Yin; Moetasim Ashfaq; Dan Lu 001; Prasanna Balaprakash (CoRR, 2024)

Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier. - Aristeidis Tsaris; Chengming Zhang 006; Xiao Wang 004; Junqi Yin; Siyan Liu; Moetasim Ashfaq; Ming Fan; Jong-Youl Choi; Mohamed Wahib; Dan Lu 001; Prasanna Balaprakash; Fei-Yue Wang 001 (CoRR, 2024)

Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars. - Wesley Brewer; Aditya Kashi; Sajal Dash; Aristeidis Tsaris; Junqi Yin; Mallikarjun Shankar; Feiyi Wang (CoRR, 2024)

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. - Xiao Wang 004; Jong-Youl Choi; Takuya Kurihaya; Isaac Lyngaas; Hong-Jun Yoon; Ming Fan; Nasik Muhammad Nafi; Aristeidis Tsaris; Ashwin M. Aji; Maliha Hossain; Mohamed Wahib; Dali Wang; et al. (CoRR, 2025)

Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. - Aristeidis Tsaris; Isaac Lyngaas; John Lagregren; Mohamed Wahib; Larry M. York; Prasanna Balaprakash; Dan Lu 001; Yi-Fei Wang; Xiao Wang 004 (CoRR, 2025)

FOCUS: Fused Observation of Channels for Unveiling Spectra. - Xi Xiao; Aristeidis Tsaris; Anika Tabassum; John H. Lagergren; Larry M. York; Tianyang Wang; Xiao Wang 004 (CoRR, 2025)