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Rishab Khincha

6 papers hereh-index 332 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author4

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • eess.IV1
  • nlin.CD1
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identity via Semantic Scholar / OpenAlex

activity
20202025
most citedWhy have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles

3 citations · 5 across the 5 of their papers we have counts for

collaborators
Showing 2020 · cs.LGShow all

3 papers · 2 filters

cs.LG2020★ 1 cited

Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks

Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar +1

The problem of missing data has been persistent for a long time and poses a major obstacle in machine learning and statistical data analysis. Past works in this field have tried us…

cs.LG2020

Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia

Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha +1

Reliability in Neural Networks (NNs) is crucial in safety-critical applications like healthcare, and uncertainty estimation is a widely researched method to highlight the confidenc…

cs.LG2020★ 3 cited

Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles

Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha +1

Understanding and quantifying uncertainty in black box Neural Networks (NNs) is critical when deployed in real-world settings such as healthcare. Recent works using Bayesian and no…

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