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David Drexel

3 papers hereh-index 219 citations4 works total

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

author position
  • middle author3

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

fields
  • cond-mat.stat-mech1
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedHE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models

13 citations · 20 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025

Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks

Muthukumar Pandaram, Jakob Hollenstein, David Drexel +3

The use of learned dynamics models, also known as world models, can improve the sample efficiency of reinforcement learning. Recent work suggests that the underlying causal graphs…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.