D. Sridharan
Orcid: 0000-0003-1998-9018Affiliations:
- Indian Institute of Science, Centre for Neuroscience, Bangalore, India
- Stanford University, CA, USA (PhD 2010)
  According to our database1,
  D. Sridharan
  authored at least 17 papers
  between 2004 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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On csauthors.net:
Bibliography
  2025
    CoRR, September, 2025
    
  
Neural mechanisms of attention, not expectation, govern spatial selection by probabilistic cueing.
    
  
    NeuroImage, 2025
    
  
  2023
Rescuing referral failures during automated diagnosis of domain-shifted medical images.
    
  
    CoRR, 2023
    
  
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++.
    
  
    Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
    
  
  2022
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
    
  
  2021
    PLoS Comput. Biol., 2021
    
  
  2019
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems.
    
  
    CoRR, 2019
    
  
    Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
    
  
    Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
    
  
  2017
    Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
    
  
  2007
    Proceedings of the Advances in Neural Information Processing Systems 20, 2007
    
  
  2006
Erratum: "the Role of the Basal Ganglia in Exploration in a Neural Model Based on Reinforcement Learning".
    
  
    Int. J. Neural Syst., 2006
    
  
The Role of the Basal Ganglia in Exploration in a Neural Model Based on Reinforcement Learning.
    
  
    Int. J. Neural Syst., 2006
    
  
  2004
The Role of the Basal Ganglia in Exploratory Behavior in a Model Based on Reinforcement Learning.
    
  
    Proceedings of the Neural Information Processing, 11th International Conference, 2004