Shreya Saxena

Orcid: 0009-0000-4034-5239

According to our database1, Shreya Saxena authored at least 20 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unsupervised Human Activity Recognition Learning for Disassembly Tasks.
IEEE Trans. Ind. Informatics, January, 2024

Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Minimizing Factual Inconsistency and Hallucination in Large Language Models.
CoRR, 2023

Neural Correlations Across Mice During Spontaneous and Task-Related Behaviors.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Region-based conversion of neural activity across sessions.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022
Modeling the behavior of multiple subjects using a Cauchy-Schwarz regularized Partitioned Subspace Variational AutoEncoder (CS-PS-VAE).
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Recurrent neural networks controlling musculoskeletal models predict motor cortex activity during novel limb movements.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Uncovering the effect of different brain regions on behavioral classification using recurrent neural networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data.
PLoS Comput. Biol., 2020

Performance Limitations in Sensorimotor Control: Trade-Offs Between Neural Computation and Accuracy in Tracking Fast Movements.
Neural Comput., 2020

2019
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
A Novel Variational Family for Hidden Nonlinear Markov Models.
CoRR, 2018

Reconstructing Neural Activity and Kinematics Using a Systems-Level Model of Sensorimotor Control.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Neural constraints in closed loop.
PhD thesis, 2017

2016
Weighted Population Code for low power neuromorphic image classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Real-Time Decoding of an Integrate and Fire Encoder.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Analyzing the effect of an integrate and fire encoder and decoder in feedback.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2012
Aggregate Input-Output Models of Neuronal Populations.
IEEE Trans. Biomed. Eng., 2012

2011
Modulations in the oscillatory activity of the Globus Pallidus internus neurons during a behavioral task-A point process analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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