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Yash Garg
Yash Garg
Staff Data Scientist, Walmart Labs
在 walmart.com 的电子邮件经过验证 - 首页
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Notes2: Networks-of-traces for epidemic spread simulations
S Liu, Y Garg, KS Candan, ML Sapino, G Chowell-Puente
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
39*2015
On the effectiveness of distance measures for similarity search in multi-variate sensory data: Effectiveness of distance measures for similarity search
Y Garg, SR Poccia
Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017
132017
SIMDMS: Data management and analysis to support decision making through large simulation ensembles
SR Poccia, ML Sapino, L Sicong, C Xilun, G Yash, H Shengyu, HK Jung, ...
Proceedings of the 20th International Conference on Extending Database …, 2017
112017
RACKNet : Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification
Y Garg, KS Candan
Proceedings of the 2019 ACM on International Conference on Multimedia …, 2019
102019
RETRACTED: Urban Sound Classification Using Convolutional Neural Network Model
S Garg, T Sehga, A Jain, Y Garg, P Nagrath, R Jain
IOP Conference Series: Materials Science and Engineering 1099 (1), 012001, 2021
82021
SAN: Scale Space Attention Network
Y Garg, KS Candan, ML Sapino
IEEE International Conference on Data Engineering (ICDE), 2020
82020
SDMA: Saliency Driven Mutual Cross Attention for MultiVariate Time Series
Y Garg, KS Candan
International Conference on Pattern Recognition (ICPR), 2020
72020
Two-dimensional attentive fusion for multi-modal learning of neuroimaging and genomics data
MA Rahaman, Y Garg, A Iraji, Z Fu, J Chen, V Calhoun
2022 IEEE 32nd International Workshop on Machine Learning for Signal …, 2022
62022
iSparse: Output Informed Sparsification of Neural Networks
Y Garg, KS Candan
ACM International Conference on Multimedia Retrieval (ICMR), 2020
62020
Datastorm-FE: A data-and decision-flow and coordination engine for coupled simulation ensembles
HW Behrens, KS Candan, X Chen, A Gadkari, Y Garg, ML Li, X Li, S Liu, ...
Proceedings of the VLDB Endowment 11 (12), 2018
62018
Selego: Robust Variate Selection for Accurate Time Series Forecasting
M Tiwaskar, Y Garg, X Li, KS Candan, ML Sapino
Data Mining and Knowledge Discovery, ECML PKDD, 2021
52021
Xm2a: Multi-scale multi-head attention with cross-talk for multi-variate time series analysis
Y Garg, KS Candan
2021 IEEE 4th International Conference on Multimedia Information Processing …, 2021
32021
Multi-Variate Time Series Similarity Measures and Their Robustness Against Temporal Asynchrony
Y Garg, KS Candan, G Chowell-Puente, H Tong, H Davulcu, ML Sapino
Arizona State University, USA, 2015
32015
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Y Garg, N Yismaw, R Hyder, A Prater-Bennette, MS Asif
arXiv preprint arXiv:2310.06124, 2023
22023
ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time Series
Y Garg
2021 International Conference on Data Mining Workshops (ICDMW), 460-465, 2021
22021
DataStorm: Coupled, Continuous Simulations for Complex Urban Environment
H Behrens, KS Candan, X Chen, Y Garg, ML Li, X Li, S Liu, ML Sapino, ...
Transactions on Data Science, 2021
22021
TEMP3D: Temporally Continuous 3D Human Pose Estimation Under Occlusions
R Lal, Y Garg, A Dutta, CK Ta, DS Raychaudhuri, MS Asif, ...
arXiv preprint arXiv:2312.16221, 2023
12023
Cardiac arrest in the setting of probable catastrophic antiphospholipid syndrome in young patient with a history of COVID infection and polyglandular disorder—Case report
SM Nahidi, Y Garg, DS Mahadeo, M Sharma, C Acosta, K Seetharam, ...
SAGE Open Medical Case Reports 11, 2050313X231220803, 2023
12023
Load-Adaptive Continuous Coupled-Simulation Ensembles with DataStorm and Chameleon
HW Behrens, ML Li, A Gadkari, Y Garg, X Chen, S Liu, KS Candan
The 2nd Annual Chameleon User Meeting, 2019
12019
POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation
A Dutta, R Lal, Y Garg, CK Ta, DS Raychaudhuri, HD Cruz, ...
arXiv preprint arXiv:2407.03549, 2024
2024
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