Damian Podareanu
- Event Generation and Statistical Sampling for Physics with Deep\n Generative Models and a Density Information Buffer
2019/01/03 by Sydney Otten, Otten, Sydney, S. Caron +15 · 3 citations
Computer Science · Decision Sciences · #Big Data Technologies and Applications #Computational Physics and Python Applications #Data Analysis #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)
- Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train
2017/11/12 by Valeriu Codreanu, Damian Podareanu, Codreanu, Valeriu +4 · 4 citations
Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
2024/09/13 by Xiaoyu Chu, Chu, Xiaoyu, Daniel Hofstätter +15 · 3 citations
Computer Science · #Advanced Data Storage Technologies #Cloud Computing and Resource Management #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Parallel #and Cluster Computing (cs.DC)
- Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models
2019/05/10 by Derya Cavdar, Derya Çavdar, Valeriu Codreanu +29 · 1 voice
Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Parallel #Topic Modeling #and Cluster Computing (cs.DC) #cs.CL #cs.DC #cs.LG