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researcher

Jürgen Schmidhuber

4 papers here

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

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CV1
  • cs.LG1
ORCID 0000-0002-1468-6758
same name
  • Jürgen Schmidhuber — 26 papers, h 9
  • Jürgen Schmidhuber — 25 papers, h 9
  • Jürgen Schmidhuber — 6 papers, h 6
  • Jürgen Schmidhuber — 6 papers, h 2
  • Jürgen Schmidhuber — 3 papers, h 2
  • Jürgen Schmidhuber — 2 papers

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

activity
20112024
most citedHindsight policy gradients

36 citations · 45 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2024

How to Correctly do Semantic Backpropagation on Language-based Agentic Systems

Wenyi Wang, Hisham A. Alyahya, Dylan R. Ashley +4

Language-based agentic systems have shown great promise in recent years, transitioning from solving small-scale research problems to being deployed in challenging real-world tasks.…

cs.CV2024★ 2 cited

Faster Diffusion via Temporal Attention Decomposition

Haozhe Liu, Wentian Zhang, Jinheng Xie +6

We explore the role of attention mechanism during inference in text-conditional diffusion models. Empirical observations suggest that cross-attention outputs converge to a fixed po…

cs.LG2017★ 36 cited

Hindsight policy gradients

Paulo Rauber, Avinash Ummadisingu, Filipe Mutz +1

A reinforcement learning agent that needs to pursue different goals across episodes requires a goal-conditional policy. In addition to their potential to generalize desirable behav…

cs.AI2011★ 7 cited

Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams

Varun Raj Kompella, Matthew Luciw, Juergen Schmidhuber

Slow Feature Analysis (SFA) extracts features representing the underlying causes of changes within a temporally coherent high-dimensional raw sensory input signal. Our novel increm…

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