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Akash Deep

3 papers hereh-index 7209 citations28 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • stat.AP1
  • stat.ME1
same name
  • Akash Deep — 8 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
bayesian optimization 1differential privacy 1distributed learning 1meta-learning 1privacy 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

stat.AP2026

Discrete-Time Survival Analysis for Heart Failure Mortality Prediction

Aditya Rane, Amit Choudhari, Shashi Kant +1

Accurate heart-failure prognosis relies on tracking clinical risk over time, yet many machine-learning applications mishandle right-censored survival data by either discarding a pa…

cs.LG2026

Privacy-Aware Collaborative and Distributed Bayesian Optimization

Aditya Rane, Sathwik Yamana, Paritosh Ramanan +2

The paper introduces a collaborative meta‑learning framework for distributed Bayesian optimization that avoids sharing raw data, examines privacy leaks from gradient sharing, and e…

stat.ME2026

Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction

Sina Aghaee Dabaghan Fard, Minhee Kim, Akash Deep +1

Modern industrial systems are often subject to multiple failure modes, and their conditions are monitored by multiple sensors, generating multiple time-series signals. Additionally…

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