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Arjun K Bansal
Arjun K Bansal
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Cited by
Cited by
Year
Flexpoint: An adaptive numerical format for efficient training of deep neural networks
U Köster, T Webb, X Wang, M Nassar, AK Bansal, W Constable, O Elibol, ...
Advances in neural information processing systems 30, 2017
3332017
Decoding 3-D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity and local field potentials
AK Bansal, W Truccolo, CE Vargas-Irwin, JP Donoghue
Journal of Neurophysiology 107 (3), 1337-55, 2012
2412012
Discovering hidden factors of variation in deep networks
B Cheung, JA Livezey, AK Bansal, BA Olshausen
arXiv preprint arXiv:1412.6583, 2014
2242014
Intel ngraph: An intermediate representation, compiler, and executor for deep learning
S Cyphers, AK Bansal, A Bhiwandiwalla, J Bobba, M Brookhart, ...
arXiv preprint arXiv:1801.08058, 2018
1642018
Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices
AK Bansal, CE Vargas-Irwin, W Truccolo, JP Donoghue
Journal of neurophysiology 105 (4), 1603-1619, 2011
1442011
Deep semantic protein representation for annotation, discovery, and engineering
AS Schwartz, GJ Hannum, ZR Dwiel, ME Smoot, AR Grant, JM Knight, ...
BioRxiv, 365965, 2018
232018
Neural dynamics underlying target detection in the human brain
AK Bansal, R Madhavan, Y Agam, A Golby, JR Madsen, G Kreiman
Journal of Neuroscience 34 (8), 3042-3055, 2014
222014
Hierarchical policy learning is sensitive to goal space design
Z Dwiel, M Candadai, M Phielipp, AK Bansal
arXiv preprint arXiv:1905.01537, 2019
162019
Temporal stability of visually selective responses in intracranial field potentials recorded from human occipital and temporal lobes
AK Bansal, JM Singer, WS Anderson, A Golby, JR Madsen, G Kreiman
Journal of Neurophysiology 108 (11), 3073-3086, 2012
122012
Integrated travel platform for personalized trip exploration, planning, and booking
Y Liu, AK Bansal, SK Harris, S Leishman, A Devine, M Ng, AS Deshpande, ...
US Patent App. 17/234,046, 2021
102021
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning. CoRR abs/1801.08058 (2018)
S Cyphers, AK Bansal, A Bhiwandiwalla, J Bobba, M Brookhart, ...
arXiv preprint arXiv:1801.08058, 2018
82018
Generalization to novel objects using prior relational knowledge
VK Vijay, A Ganesh, H Tang, A Bansal
arXiv preprint arXiv:1906.11315, 2019
72019
Intel ngraph: An intermediate representation, compiler, and executor for deep learning. ArXiv. 2018
S Cyphers, AK Bansal, A Bhiwandiwalla, J Bobba, M Brookhart, ...
arXiv preprint arXiv:1801.08058, 1801
61801
Neural interactions underlying Visuomotor associations in the human brain
R Madhavan, AK Bansal, JR Madsen, AJ Golby, TS Tierney, EN Eskandar, ...
Cerebral Cortex 29 (11), 4551-4567, 2019
42019
Display screen with transitional graphical user interface for integrated travel itinerary planning, booking and viewing
SK Harris, A Devine, Y Liu, AK Bansal, M Ng, S Leishman, G Pereyra
US Patent App. 29/731,843, 2022
32022
Human single unit activity for reach and grasp motor prostheses
AK Bansal
12014
User-identification using Face Recognition Algorithms
A Bansal
CNS, 2004
12004
Human single units in reach and grasp prostheses
AK Bansal
Single neuron studies of the human brain: Probing Cognition, 305-325, 2014
2014
Decoding 3-D reach and grasp kinematics from hybrid signals in motor and premotor cortices: spikes, multiunit activity and local field potentials
AK Bansal, W Truccolo, CE Vargas-Irwin, JP Donoghue
Machine Learning, Statistical Inference and Neuroscience, Janelia Farm …, 2012
2012
Temporal stability of visually selective responses in intracranial field potentials from the human occipital and temporal lobes.
AK Bansal, J Singer, JR Madsen, G Kreiman
Society for Neuroscience Nanosymposium, Washington D.C., 2011
2011
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