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Jens Egholm Pedersen

Technical University of Denmark (DTU)

9 papers hereh-index 5244 citations17 works total

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

author position
  • first author7
  • middle author1
  • last author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.NE5
  • cs.CV1
  • cs.DC1
  • cs.LG1
  • eess.SP1
affiliations
  • Technical University of Denmark (DTU)
Homepage

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedNeuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing

71 citations · 77 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

GERD: Geometric event response data generation

Jens Egholm Pedersen, Dimitris Korakovounis, Jörg Conradt

Event-based vision sensors offer high temporal resolution, high dynamic range, and low power consumption, yet event-based vision models lag behind conventional frame-based vision m…

cs.NE2024

Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware

Steven Abreu, Jens E. Pedersen

The value of brain-inspired neuromorphic computers critically depends on our ability to program them for relevant tasks. Currently, neuromorphic hardware often relies on machine le…

cs.LG2024★ 2 cited

Q-S5: Towards Quantized State Space Models

Steven Abreu, Jens E. Pedersen, Kade M. Heckel +1

In the quest for next-generation sequence modeling architectures, State Space Models (SSMs) have emerged as a potent alternative to transformers, particularly for their computation…

cs.NE2024★ 4 cited

Covariant spatio-temporal receptive fields for spiking neural networks

Jens Egholm Pedersen, Jörg Conradt, Tony Lindeberg

Biological nervous systems constitute important sources of inspiration towards computers that are faster, cheaper, and more energy efficient. Neuromorphic disciplines view the brai…

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