Prasanna Balaprakash
- Optimizing Distributed Training on Frontier for Large Language Models
2023/12/20 by Sajal Dash, Dash, Sajal, Isaac Lyngaas +14 · 1 voice · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Natural Language Processing Techniques #Parallel #Speech Recognition and Synthesis #Topic Modeling #and Cluster Computing (cs.DC) #cs.AI #cs.DC
- AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging
2021/09/28 by Yudong Yao, Yao, Yudong, Henry Lik‐Yuen Chan +9 · 6 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #00A79 #68T07 #Advanced Electron Microscopy Techniques and Applications #Advanced X-ray Imaging Techniques #Applied Physics (physics.app-ph) #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Digital Holography and Microscopy #FOS: Computer and information sciences #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
2023/09/12 by Pedro Valero‐Lara, Alexis Huante, Valero-Lara, Pedro +11 · 8 citations
Computer Science · #Advanced Data Storage Technologies #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Parallel #Parallel Computing and Optimization Techniques #Programming Languages (cs.PL) #Software Engineering (cs.SE) #Topic Modeling #and Cluster Computing (cs.DC)
- Formalizing the Generalization-Forgetting Trade-off in Continual Learning
2021/09/28 by Krishnan Raghavan, Prasanna Balaprakash, Raghavan, Krishnan +1 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Multimodal Machine Learning Applications #Optimization and Control (math.OC)
- DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
2023/10/06 by Shuaiwen Leon Song, Song, Shuaiwen Leon, Bonnie Kruft +181 · 5 citations
Biochemistry, Genetics and Molecular Biology · Decision Sciences · Materials Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Machine Learning in Materials Science #Scientific Computing and Data Management
- ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability
2024/04/23 by Xiao Wang, Wang, Xiao, Siyan Liu +18 · 6 citations
Computer Science · Earth and Planetary Sciences · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Geological Modeling and Analysis #Geophysics (physics.geo-ph) #Image and Video Processing (eess.IV) #Parallel #Seismology and Earthquake Studies #and Cluster Computing (cs.DC) #electronic engineering #information engineering
- Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning
2024/07/24 by Hongwei Jin, George Papadimitriou, Jin, Hongwei +12 · 5 citations
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Network Security and Intrusion Detection #Scientific Computing and Data Management #Software Engineering (cs.SE)
- Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting
2022/04/04 by Tanwi Mallick, Mallick, Tanwi, Prasanna Balaprakash +3 · 2 citations
Computer Science · Engineering · #Energy Load and Power Forecasting #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
- Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
2022/07/01 by Romain Égelé, Isabelle Guyon, Egele, Romain +5 · 2 citations
Computer Science · Decision Sciences · #Advanced Neural Network Applications #Advanced Bandit Algorithms Research #Machine Learning and Data Classification
- Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
2023/08/08 by Sandeep Madireddy, Madireddy, Sandeep, Ángel Yanguas-Gil +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- A Modular Deep Learning Pipeline for Galaxy-Scale Strong Gravitational Lens Detection and Modeling
2019/11/10 by Sandeep Madireddy, Madireddy, Sandeep, Nesar Ramachandra +13 · 1 citation
Computer Science · Physics and Astronomy · #Adaptive optics and wavefront sensing #Advanced Image Processing Techniques #Advanced Vision and Imaging #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG)
- How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
2025/02/17 by Matt Landreman, Jong Youl Choi, Landreman, Matt +11 · 4 citations
Physics and Astronomy · #Magnetic confinement fusion research
- Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization
2020/10/15 by Xingfu Wu, Wu, Xingfu, Michael Kruse +11 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Performance (cs.PF) #Programming Languages (cs.PL) #Software Engineering Research #Software Testing and Debugging Techniques
- AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification
2021/10/26 by Romain Égelé, Egele, Romain, Romit Maulik +9 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Data-Driven Modeling of Coarse Mesh Turbulence for Reactor Transient Analysis Using Convolutional Recurrent Neural Networks
2021/09/09 by Yang Liu, Rui Hu, Liu, Yang +7 · 1 citation
Engineering · #Nuclear Engineering Thermal-Hydraulics #Nuclear reactor physics and engineering #Heat transfer and supercritical fluids
- Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
2025/04/10 by Chaojian Li, Li, Chaojian, Zhifan Ye +11 · 3 citations
Materials Science · #Machine Learning in Materials Science #Electron and X-Ray Spectroscopy Techniques #X-ray Diffraction in Crystallography
- Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
2023/02/20 by Romit Maulik, Maulik, Romit, Romain Égelé +4 · 1 citation
Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Dynamical Systems (math.DS) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
- Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement
2024/05/16 by Hongwei Jin, Prasanna Balaprakash, Jin, Hongwei +13 · 1 citation
Engineering · Materials Science · #FOS: Computer and information sciences #FOS: Electrical engineering #High voltage insulation and dielectric phenomena #Machine Learning (cs.LG) #Power System Reliability and Maintenance #Power Transformer Diagnostics and Insulation #Systems and Control (eess.SY) #electronic engineering #information engineering
- Sequential Bayesian Neural Subnetwork Ensembles
2022/06/01 by Sanket Jantre, Jantre, Sanket, Shrijita Bhattacharya +9 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Graph Neural Network Architecture Search for Molecular Property Prediction
2020/08/27 by Shengli Jiang, Jiang, Shengli, Prasanna Balaprakash +1 · 1 citation
Computer Science · Materials Science · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Advanced Graph Neural Networks
- ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
2025/05/07 by Xiao Wang, Wang, Xiao, Jong-Youl Choi +33 · 1 citation
Earth and Planetary Sciences · Environmental Science · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Cryospheric studies and observations #Distributed #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Parallel #Remote Sensing in Agriculture #Urban Heat Island Mitigation #and Cluster Computing (cs.DC)
- Advancing Anomaly Detection in Computational Workflows with Active Learning
2024/05/09 by Krishnan Raghavan, Raghavan, Krishnan, George Papadimitriou +11 · 1 citation
Computer Science · #Data Stream Mining Techniques #Anomaly Detection Techniques and Applications #Machine Learning and Algorithms
- Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows
2019/09/18 by Michael Salim, Salim, Michael A., Thomas Uram +9 · 1 citation
Computer Science · Decision Sciences · Materials Science · #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Machine Learning in Materials Science #Parallel #Scientific Computing and Data Management #and Cluster Computing (cs.DC)