(Showing: 1 - 10 of 104)
(Showing: 1 - 104 of 104)
Altintas I., Marcus K., Nealey I., Sellars SL, Graham J., Mishin D., Polizzi J., Crawl D., DeFanti T., and Smarr L.
"Workflow-driven distributed machine learning in CHASE-CI: A cognitive hardward and software ecosystem community infrastructure."
arXiv.org
, 2019
, p.1903.0680
Altintas, I., Perez, I., Mishin, D., Trouillaud, A., Irving, C., Graham, J., Tatineni, M., DeFanti, T., Strande, S., Smarr, L. and Norman, M.L.
"Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing."
Proceedings of the IEEE 18th International Conference on e-Science
, 2022
Armstrong, G., Martino, C., Morris, J., Khaleghi, B., Kang, J., DeReus, J., Zhu, Q., Roush, D., McDonald, D., Gonazlez, A. and Shaffer, J.P.
"Swapping Metagenomics Preprocessing Pipeline Components Offers Speed and Sensitivity Increases."
Msystems
, v.7
, 2022
, p.e01378
Bharathkumar, K., Paolini, C. and Sarkar, M.
"FPGA-based Edge Inferencing for Fall Detection."
2020 IEEE Global Humanitarian Technology Conference (GHTC)
, 2020
Bhatta, D. and Mashayekhy, L.
"A bifactor approximation algorithm for cloudlet placement in edge computing"
IEEE Transactions on Parallel and Distributed Systems
, v.33
, 2021
, p.1787-1798
Boada, A., Paolini, C. and Castillo, J.E.
"High-order mimetic finite differences for anisotropic elliptic equations."
Computers & Fluids
, v.213
, 2020
Chandrasekaran, R., Ergun, K., Lee, J., Nanjunda, D., Kang, J. and Rosing, T.
"Fhdnn: Communication efficient and robust federated learning for aiot networks"
Proceedings of the 59th ACM/IEEE Design Automation Conference
, 2022
, p.37-42
Cheng, J. and Vasconcelos, N.
"Calibrating Deep Neural Networks by Pairwise Constraints"
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
, 2022
, p.13709-137
Chen, K., Beyeler, M. and Krichmar, J.L.
"Cortical Motion Perception Emerges from Dimensionality Reduction with Evolved Spike-Timing-Dependent Plasticity Rules"
Journal of Neuroscience
, v.42
, 2022
, p.5882-5898
Chen, K., Johnson, A., Scott, E.O., Zou, X., De Jong, K.A., Nitz, D.A. and Krichmar, J.L
"Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks"
2021 International Joint Conference on Neural Networks (IJCNN)
, 2021
Chen, K., Johnson, A., Scott, E.O., Zou, X., De Jong, K.A., Nitz, D.A. and Krichmar, J.L.
"Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks."
2021 International Joint Conference on Neural Networks (IJCNN)
, 2021
Copps, Elizabeth and Zhang, Huiyi and Sim, Alex and Wu, Kesheng and Monga, Inder and Guok, Chin and Würthwein, Frank and Davila, Diego and Fajardo, Edgar
"Analyzing Scientific Data Sharing Patterns for In-network Data Caching"
SNTA '21: Proceedings of the 2021 on Systems and Network Telemetry and Analytics
, 2021
https://doi.org/10.1145/3452411.3464441
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Details
Copps, E., Zhang, H., Sim, A., Wu, K., Monga, I., Guok, C., Würthwein, F., Davila, D. and Fajardo, E.
"Analyzing scientific data sharing patterns for in-network data caching"
arXiv preprint
, 2021
, p.arXiv:210
Cramer, E.Y., Ray, E.L., Lopez, V.K., Bracher, J., Brennen, A. and Rivadeneira, A.J.C.
"Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US."
Proceedings of the National Academy of Sciences (PNAS)
, 2021
Dewangan, A., Pande, Y., Braun, H.W., Vernon, F., Perez, I., Altintas, I., Cottrell, G.W. and Nguyen, M.H.
"Dewangan, A., Pande, Y., Braun, H.W., Vernon, F., Perez, I., Altintas, I., Cottrell, G.W. and Nguyen, M.H., 2022. FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection"
Remote Sensing
, v.14
, 2022
Donovan, R.P., Kim, Y.G., Manzo, A., Ren, Y., Bian, S., Wu, T., Purawat, S., Helvajian, H., Wheaton, M., Li, B. and Li, G.P.
"Smart connected worker edge platform for smart manufacturing: Part 2Implementation and onsite deployment case study"
Journal of Advanced Manufacturing and Processing
, v.4
, 2022
, p.e10130.
Eckmann, P., Sun, K., Zhao, B., Feng, M., Gilson, M.K. and Yu, R.
"LIMO: Latent Inceptionism for Targeted Molecule Generation."
International Conference on Machine Learning (ICML)
, 2022
Erdem, C., Bensman, E.M., Mutsuddy, A., Saint-Antoine, M.M., Bouhaddou, M., Blake, R.C., Dodd, W., Gross, S.M., Heiser, L.M., Feltus, F.A. and Birtwistle, M.R.
"A Simple and Efficient Pipeline for Construction, Merging, Expansion, and Simulation of Large-Scale, Single-Cell Mechanistic Models."
bioRxiv
, 2020
Fajardo, E., Arora, A., Davila, D., Gao, R., Würthwein, F. and Bockelman, B.
"Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD"
arXiv preprint arXiv:2103.12116.
, 2020
Fajardo, E., Bockelman, B. and Wuerthwein, F.
"Testing the limits of HTTPS single point third party copy transfer over the WAN"
EPJ Web of Conferences
, v.245
, 2020
, p.04025
Fajardo, Edgar and Arora, Aashay and Davila, Diego and Gao, Richard and Würthwein, Frank and Bockelman, Brian
"Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD"
EPJ Web of Conferences
, v.251
, 2021
https://doi.org/10.1051/epjconf/202125102001
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Details
Fajardo, Edgar and Tadel, Matevz and Balcas, Justas and Tadel, Alja and Würthwein, Frank and Davila, Diego and Guiang, Jonathan and Sfiligoi, Igor
"Moving the California distributed CMS XCache from bare metal into containers using Kubernetes"
EPJ Web of Conferences
, v.245
, 2020
https://doi.org/10.1051/epjconf/202024504042
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Fajardo, Edgar and Weitzel, Derek and Rynge, Mats and Zvada, Marian and Hicks, John and Selmeci, Mat and Lin, Brian and Paschos, Pascal and Bockelman, Brian and Hanushevsky, Andrew and Würthwein, Frank and Sfiligoi, Igor
"Creating a content delivery network for general science on the internet backbone using XCaches"
EPJ Web of Conferences
, v.245
, 2020
https://doi.org/10.1051/epjconf/202024504041
Citation
Details
Fajardo, E., Tadel, M., Balcas, J., Tadel, A., Würthwein, F., Davila, D., Guiang, J. and Sfiligoi, I.
"Moving the California distributed CMS XCache from bare metal into containers using Kubernetes"
EPJ Web of Conferences
, v.245
, 2020
Fajardo, E., Weitzel, D., Rynge, M., Zvada, M., Hicks, J., Selmeci, M., Lin, B., Paschos, P., Bockelman, B., Hanushevsky, A. and Würthwein, F.
"Creating a content delivery network for general science on the internet backbone using XCaches"
EPJ Web of Conferences
, v.245
, 2020
, p.04041
Fajardo, E., Wuerthwein, F., Bockelman, B., Livny, M., Thain, G., Clark, J.A., Couvares, P. and Willis, J.
"Adapting LIGO workflows to run in the Open Science Grid"
SoftwareX
, v.14
, 2021
Gala, K., Bryden, P.D., Paolini, C., Wang, M., Mihovska, A.D. and Sarkar, M.
"Real-time indoor geolocation tracking for assisted healthcare facilities"
International Journal of Interdisciplinary Telecommunications and Networking (IJITN)
, v.12
, 2020
, p.1
Gala K., Bryden P., Paolini C., Dimitrova A., and Sarkar M.
"Real-time indoor geolocation tracking for assisted healthcare facilities"
Wireless Telecommunications Symposium
, 2019
Gardner, R., Bryant, L., Neubauer, M., Wuerthwein, F., Stephen, J. and Chien, A.
"The Scalable Systems Laboratory: a Platform for Software Innovation for HEP"
EPJ Web of Conferences
, v.245
, 2020
, p.05019
Guiang, J., Arora, A., Davila, D., Graham, J., Mishin, D., Sfiligoi, I., Wuerthwein, F., Lehman, T., Yang, X., Guok, C. and Newman, H.
"Integrating End-to-End Exascale SDN into the LHC Data Distribution Cyberinfrastructure"
Practice and Experience in Advanced Research Computing
, 2022
, p.1-4
Gungor, O., Rosing, T.S. and Aksanli, B.
"DOWELL: diversity-induced optimally weighted ensemble learner for predictive maintenance of industrial internet of things devices"
IEEE Internet of Things Journal
, v.9
, 2021
, p.3125
Gungor, O., Rosing, T.S. and Aksanli, B.
"Respire++: Robust indoor sensor placement optimization under distance uncertainty"
IEEE Sensors Journal
, 2021
Gupta, S., Imani, M., Sim, J., Huang, A., Wu, F., Kang, J., Kim, Y. and Rosing, T..
"COSMO: Computing with Stochastic Numbers in Memory"
ACM Journal on Emerging Technologies in Computing Systems (JETC)
, v.18
, 2022
, p.1-25
Gupta, S., Khaleghi, B., Salamat, S., Morris, J., Ramkumar, R., Yu, J., Tiwari, A., Kang, J., Imani, M., Aksanli, B. and Rosing, T..
"Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy"
ACM Transactions on Embedded Computing Systems (TECS).
, 2022
Haberl, M.G., Wong, W., Penticoff, S., Je, J., Madany, M., Borchardt, A., Boassa, D., Peltier, S.T. and Ellisman, M.H
"CDeep3M-Preview: Online segmentation using the deep neural network model zoo"
bioRxiv
, 2020
10.1101/2020.03.26.010660
Hansen, N., Su, H. and Wang, X.
"Stabilizing deep q-learning with convnets and vision transformers under data augmentation"
Advances in Neural Information Processing Systems
, v.34
, 2021
, p.3680
Heintz, A., Razavimaleki, V., Duarte, J., DeZoort, G., Ojalvo, I., Thais, S., Atkinson, M., Neubauer, M., Gray, L., Jindariani, S. and Tran, N.
"Accelerated charged particle tracking with graph neural networks on FPGAs"
arXiv preprint
, 2020
, p.arXiv:201
Jangir, R., Hansen, N., Ghosal, S., Jain, M. and Wang, X.
"Look Closer: Bridging Egocentric and Third-Person Views With Transformers for Robotic Manipulation"
IEEE Robotics and Automation Letters
, v.7
, 2022
, p.3046
Jiang, H., Liu, S., Wang, J. and Wang, X.
"Hand-object contact consistency reasoning for human grasps generation"
Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2021
, p.11107
Kang, J., Khaleghi, B., Kim, Y. and Rosing, T.
"XCelHD: An efficient GPU-powered hyperdimensional computing with parallelized training"
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)
, 2022
, p.220-225
Kansal, R., Duarte, J., Orzari, B., Tomei, T., Pierini, M., Touranakou, M., Vlimant, J.R. and Gunopulos, D.
"Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics"
arXiv preprint
, 2020
, p.arXiv:201
Khachiyan, A., Thomas, A., Zhou, H., Hanson, G.H., Cloninger, A., Rosing, T. and Khandelwal, A.
"Using Neural Networks to Predict Micro-Spatial Economic Growth"
National Bureau of Economic Research
, 2022
Khaleghi, B., Kang, J., Xu, H., Morris, J. and Rosing, T.
"GENERIC: highly efficient learning engine on edge using hyperdimensional computing"
Proceedings of the 59th ACM/IEEE Design Automation Conference
, 2022
, p.1117-1122
Khaleghi, B., Mallappa, U., Yaldiz, D., Yang, H., Shah, M., Kang, J. and Rosing, T.
"PatterNet: explore and exploit filter patterns for efficient deep neural networks"
Proceedings of the 59th ACM/IEEE Design Automation Conference
, 2022
, p.223
Kim, Y.G., Donovan, R.P., Ren, Y., Bian, S., Wu, T., Purawat, S., Manzo, A.J., Altintas, I., Li, B. and Li, G.P.
"Smart connected worker edge platform for smart manufacturing: Part 1Architecture and platform design"
Journal of Advanced Manufacturing and Processing
, v.4
, 2022
, p.e10129
Leung, B., Ho, C.H. and Vasconcelos, N.,
"Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction"
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
, 2022
, p.4080-4090
Liang, Y., Ge, C., Tong, Z., Song, Y., Wang, J. and Xie, P.
"Not all patches are what you need: Expediting vision transformers via token reorganizations."
Proceedings of the International Conference on Learning Representations (ICLR)
, 2022
Liu, I., Yang, E., Tao, J., Chen, R., Zhang, X., Ran, Q., Liu, Z. and Su, H.
"ActiveZero: Mixed Domain Learning for Active Stereovision With Zero Annotation."
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
, 2022
, p.13033
Li, Y. and Vasconcelos, N.
"Improving Video Model Transfer with Dynamic Representation Learning"
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
, 2022
, p.19280-192
Li, Z., Yu, T.W., Sang, S., Wang, S., Song, M., Liu, Y., Yeh, Y.Y., Zhu, R., Gundavarapu, N., Shi, J. and Bi, S.
"Openrooms: An open framework for photorealistic indoor scene datasets."
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
, 2021
, p.7190-7199
Madany, M., Marcus, K., Peltier, S., Ellisman, M.H. and Altintas, I.
"NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and AI."
2020 IEEE International Conference on Big Data (Big Data)
, 2020
, p.320
Mason, A.E., Hecht, F.M., Davis, S.K., Natale, J.L., Hartogensis, W., Damaso, N., Claypool, K.T., Dilchert, S., Dasgupta, S., Purawat, S. and Viswanath, V.K.
"Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study"
Scientific Reports
, v.12
, 2022
, p.1-15
Mason, A.E., Kasl, P., Hartogensis, W., Natale, J.L., Dilchert, S., Dasgupta, S., Purawat, S., Chowdhary, A., Anglo, C., Veasna, D. and Pandya, L.S.
"Metrics from wearable devices as candidate predictors of antibody response following vaccination against COVID-19: data from the second tempredict study"
Vaccines
, v.10
, 2022
, p.264
Mehta, I., Gharbi, M., Barnes, C., Shechtman, E., Ramamoorthi, R. and Chandraker, M.
"Modulated periodic activations for generalizable local functional representations"
Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2021
, p.14214-142
Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R. and Ng, R.
"Nerf: Representing scenes as neural radiance fields for view synthesis"
Communications of the ACM
, v.65
, 2021
, p.99
Morris, J., Ergun, K., Khaleghi, B., Imani, M., Aksanli, B. and Simunic, T.
": Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System"
ACM Transactions on Embedded Computing Systems
, v.21
, 2022
, p.1-25
Morris, J., Lui, H.W., Stewart, K., Khaleghi, B., Thomas, A., Marback, T., Aksanli, B., Neftci, E. and Rosing, T.
"HyperSpike: hyperdimensional computing for more efficient and robust spiking neural networks"
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
, 2022
, p.664-669
Mu, J., Qiu, W., Kortylewski, A., Yuille, A., Vasconcelos, N. and Wang, X., 2021.
"A-sdf: Learning disentangled signed distance functions for articulated shape representation"
Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2021
, p.13001
Nguyen, M.H., Abdelmaguid, E., Huang, J., Kenchareddy, S., Singla, D., Wilke, L., Bobar, M., Carruth, E.D., Uys, D., Altintas, I, Muse, E.E., Quer, G., and Steinhubl, S.
"Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning"
IEEE 14th International Conference on e-Science
, 2018
10.1109/eScience.2018.00065
Nguyen, M.H., Block, J., Crawl, D., Siu, V., Bhatnagar, A., Rodriguez, F., Kwan, A., Baru, N.,and Altintas, I.
"Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning"
2018 IEEE International Conference on Big Data (Big Data)
, 2018
10.1109/BigData.2018.8621883
Niedermeier, L., Chen, K., Xing, J., Das, A., Kopsick, J., Scott, E., Sutton, N., Weber, K., Dutt, N. and Krichmar, J.L.
"CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation."
2022 International Joint Conference on Neural Networks (IJCNN)
, 2022
, p.1-10
Ni, Y., Kim, Y., Rosing, T. and Imani, M.
"Algorithm-hardware co-design for efficient brain-inspired hyperdimensional learning on edge"
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
, 2022
, p.292-297
Ni, Y., Kim, Y., Rosing, T. and Imani, M.
"Online performance and power prediction for edge TPU via comprehensive characterization"
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
, 2022
, p.612-615
Ogle, C., Reddick, D., McKnight, C., Biggs, T., Pauly, R., Ficklin, S.P., Feltus, F.A. and Shannigrahi, S.
"Named Data Networking for Genomics Data Management and Integrated Workflows."
Frontiers in big Data, 4
, 2021
Ostertag, M.H., Ma, J. and Rosing, T.
"Remote Sensing with UAV and Mobile Recharging Vehicle Rendezvous"
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
, 2022
, p.583-543
Pandey, P.K., Chhabra, S. and Sharma, A.
"An Observable Network Route Support on Interpretation of Cloud Computing."
International Journal of Innovative Technology and Exploring Engineering,
, v.9
, 2020
, p.2
Purawat, S., Dasgupta, S., Burbidge, L., Zuo, J.L., Wilson, S.D., Gupta, A. and Altintas, I.
"Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science"
International Conference on Computational Science
, 2021
, p.656-670
Purawat, S., Dasgupta, S., Song, J., Davis, S., Claypool, K.T., Chandra, S., Mason, A., Viswanath, V., Klein, A., Kasl, P. and Wen, Y.
"TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19."
2021 IEEE International Conference on Big Data (Big Data)
, 2021
, p.4411-4420
Qin, Y., Rodero, I., Simonet, A., Meertens, C., Reiner, D., Riley, J. and Parashar, M.
"Leveraging user access patterns and advanced cyberinfrastructure to accelerate data delivery from shared-use scientific observatories."
Future Generation Computer Systems
, v.122
, 2020
, p.14
Ralph F.M., Wilson A.M., Shulgina T., Kawzenuk B., Sellars S., Rutz J.J., Lamjiri M.A., Barnes E.A., Gershunov A., Guan B., Nardi K.M., Osborne T., and Wick G.A.
"ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California?s Russian River watershed?"
Climate Dynamics
, v.52
, 2019
, p.4973
Salamat, S., Zhang, H., Ki, Y.S. and Rosing, T.
"NASCENT2: Generic Near-Storage Sort Accelerator for Data Analytics on SmartSSD"
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
, v.15
, 2022
, p.1-29
Sellars S.L., et al.
"The evolution of bits and bottlenecks in a scientific workflow trying to keep up with technology: Accelerating 4D image segmentation applied to NASA data."
In Progress
, 2019
10.1109/eScience.2019.00016
Sfiligoi, I.
"Demonstrating 100 Gbps in and out of the public Clouds."
Practice and Experience in Advanced Research Computing.
, 2020
10.1145/3311790.3399612
Sfiligoi, I., DeFanti, T. and Würthwein, F.
"Auto-scaling HTCondor pools using Kubernetes compute resources"
PEARC22
, 2022
Sfiligoi, I., Graham, J. and Wuerthwein, F.
"Characterizing network paths in and out of the clouds"
EPJ Web of Conferences
, v.245
, 2020
, p.07059
Sfiligoi, I., McDonald, D. and Knight, R.
"Accelerating key bioinformatics tasks 100-fold by improving memory access"
arXiv preprint
, 2021
, p.arXiv:210
Sfiligoi, I., McDonald, D. and Knight, R.
"Porting and optimizing UniFrac for GPUs: Reducing microbiome analysis runtimes by orders of magnitude."
Practice and Experience in Advanced Research Computing
, 2020
10.1145/3311790.3399614
Sfiligoi, I., Schultz, D., Riedel, B., Wuerthwein, F., Barnet, S. and Brik, V.
"Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing: Producing a fp32 ExaFLOP hour worth of IceCube simulation data in a single workday."
Practice and Experience in Advanced Research Computing
, 2020
10.1145/3311790.3396625
Sfiligoi, I., Schultz, D., Würthwein, F. and Riedel, B.
"Pushing the Cloud Limits in Support of IceCube Science."
IEEE Internet Computing,
, v.25
, 2021
, p.71
Sfiligoi, I., Schultz, D., Würthwein, F., Riedel, B. and Mishin, D.
"The anachronism of whole-GPU accounting"
Practice and Experience in Advanced Research Computing
, 2022
, p.1-5
Sfiligoi, I., Schultz, D., Würthwein, F., Riedel, B. and Mishin, D.
"The anachronism of whole-GPU accounting."
Practice and Experience in Advanced Research Computing
, 2022
, p.1-5
Sfiligoi, I., Würthwein, F., Riedel, B. and Schultz, D.
"Running a pre-exascale, geographically distributed, multi-cloud scientific simulation"
International Conference on High Performance Computing
, 2020
10.1007/978-3-030-50743-5_2
Sharma, A., Kalluri, T. and Chandraker, M.
"Instance level affinity-based transfer for unsupervised domain adaptation."
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
, 2021
, p.5361-5371
Shields CA, Rutz J.J., Leung L-Y, et al.
"ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California?s Russian River watershed?"
Geoscientific Model Development
, v.11
, 2018
, p.2455
https://doi.org/10.5194/gmd-11-2455-2018
Shourov, E.C. and Paolini, C.
"Laying the Groundwork for Automated Computation of Surrogate Safety Measures (SSM) for Skateboarders and Pedestrians using Artificial Intelligence."
2020 Third International Conference on Artificial Intelligence for Industries (AI4I)
, 2020
Spoor, S., Wytko, C., Soto, B., Chen, M., Almsaeed, A., Condon, B., Herndon, N., Hough, H., Jung, S., Staton, M. and Wegrzyn, J.
"Tripal and Galaxy: supporting reproducible scientific workflows for community biological databases."
Database
, 2020
Thomas, A., Dasgupta, S. and Rosing, T.
"Theoretical Foundations of Hyperdimensional Computing"
Journal of Artificial Intelligence Research
, v.72
, 2021
, p.215
Wang, J., Xu, H., Narasimhan, M. and Wang, X.
"Multi-Person 3D Motion Prediction with Multi-Range Transformers"
Advances in Neural Information Processing Systems
, v.34
, 2021
, p.6036
Wang, R., Walters, R. and Yu, R.
"Approximately Equivariant Networks for Imperfectly Symmetric Dynamics"
International Conference on Machine Learning (ICML)
, 2022
Wei, Y., Zhou, M., Liu, S., Seemakhupt, K., Rosing, T. and Khan, S.
"PIMProf: an automated program profiler for processing-in-memory offloading decisions"
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
, 2022
, p.855-860
Wu, D., Chinazzi, M., Vespignani, A., Ma, Y.A. and Yu, R.
"Multi-fidelity Hierarchical Neural Processes."
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
, 2022
Xie, P. and Du, X.
"Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search"
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
, 2022
, p.11922
Xing, J., Nagata, T., Chen, K., Zou, X., Neftci, E. and Krichmar, J.L.
"Domain adaptation in reinforcement learning via latent unified state representation"
Proceedings of the AAAI Conference on Artificial Intelligence
, v.35
, 2021
, p.10452
Xu, J. and Wang, X.
"Rethinking self-supervised correspondence learning: A video frame-level similarity perspective"
Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2021
, p.10075
Xu, W., Kang, J. and Rosing, T.
"A near-storage framework for boosted data preprocessing of mass spectrum clustering"
Proceedings of the 59th ACM/IEEE Design Automation Conference
, 2022
, p.313
Yang, R., Zhang, M., Hansen, N., Xu, H. and Wang, X.
"Learning vision-guided quadrupedal locomotion end-to-end with cross-modal transformers"
International Conference on Learning Representations (ICLR)
, 2022
Yazdani, M., Nguyen, M.H., Block, J., Crawl, D., Zurutuza, N., Kim, D., Hanson, G., and Altintas, I.
"Scalable Detection of Rural Schools in Africa using Convolutional Neural Networks and Satellite Imagery"
IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)
, 2018
10.1109/UCC-Companion.2018.00048
Yeh, Y.Y., Li, Z., Hold-Geoffroy, Y., Zhu, R., Xu, Z., Haan, M., Sunkavalli, K. and Chandraker, M.
"PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes"
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
, 2022
, p.18562-185
Yu, X., Ergun, K., Song, X., Cherkasova, L. and Rosing, T..
"Automating and Optimizing Reliability-Driven Deployment in Energy-Harvesting IoT Networks."
IEEE Transactions on Network and Service Management
, 2022
Zhang, Q., Xiao, T., Efros, A.A., Pinto, L. and Wang, X.
"Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency"
arXiv preprint
, 2020
, p.arXiv:201
Zhang, X., Chen, R., Xiang, F., Qin, Y., Gu, J., Ling, Z., Liu, M., Zeng, P., Han, S., Huang, Z. and Mu, T.
"Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation."
arXiv preprint
, 2022
, p.arXiv:220
Zhou, M., Xu, W., Kang, J. and Rosing, T.
"TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer"
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
, 2022
, p.1071-1085
Zhou, Z., Yang, X., Rossi, R., Zhao, H. and Yu, R.
"Neural Point Process for Learning Spatiotemporal Event Dynamics"
Learning for Dynamics and Control Conference, PMLR
, 2022
, p.777-789
Zhu, R., Li, Z., Matai, J., Porikli, F. and Chandraker, M.
"IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes."
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
, 2022
, p.2822-2831
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