Sahil Garg
Sahil Garg
Icahn School of Medicine at Mount Sinai
Email verificata su usc.edu - Home page
TitoloCitata daAnno
Learning Non-Stationary Space-Time Models for Environmental Monitoring
S Garg, A Singh, F Ramos
Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12), 2012
292012
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text
S Garg, A Galstyan, U Hermjakob, D Marcu
Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), 2016
212016
Persistent monitoring of stochastic spatio-temporal phenomena with a small team of robots
S Garg, N Ayanian
Robotics: Science and Systems (RSS-14), 2014
17*2014
Efficient space-time modeling for informative sensing
S Garg, A Singh, F Ramos
Sixth International Workshop on Knowledge Discovery from Sensor Data…, 2012
42012
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
S Garg, I Rish, G Cecchi, A Lozano
International Joint Conference on Artificial Intelligence (IJCAI-17), 2017
32017
Stochastic Learning of Nonstationary Kernels for Natural Language Modeling
S Garg, GV Steeg, A Galstyan
arXiv preprint arXiv:1801.03911, 2017
22017
Adaptive Sensing for Learning Nonstationary Environment Models
S Garg, A Singh, F Ramos
https://arxiv.org/pdf/1804.10279.pdf, 2013
1*2013
Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach
S Garg, G Cecchi, I Rish, P Goyal, S Ghazarian, S Gao, G Ver Steeg, ...
AAAI Conference on Artificial Intelligence (AAAI-20), 2020
2020
Nearly-Unsupervised Hashcode Representations for Relation Extraction
S Garg, A Galstyan, G Ver Steeg, G Cecchi
Empirical Methods in Natural Language Processing (EMNLP-19), 2019
2019
Kernelized Hashcode Representations for Relation Extraction
S Garg, A Galstyan, G Ver Steeg, I Rish, G Cecchi, S Gao
Thirty Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
2019
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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