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Andrew B. Lehr

2 papers indexed

arxivcs.LGq-bio.NC2026-07-14

Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences

Arash Nikzad, Sasan Sarbishegi, Ali Dasmeh, Muhammad Asif, Parsa Gharavi, Erik Husom, et al.

How can an agent build a structured map of its world from nothing but an ongoing sequence of raw sensory input and its own movements, especially when natural variation means exact sensory patterns rarely repeat? The Clone-Structured Causal Graph algorithm (CSCG), a normative hipp…

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arxivcs.NE2026-06-27

Road to scalability for efficient graph search on massively parallel neuromorphic hardware

Oskar von Seeler, Elena C. Offenberg, Carlo Michaelis, Tomas Kulvicius, Jannik Luboeinski, Andrew B. Lehr, et al.

Efficient computation of shortest paths in weighted graphs is a fundamental problem with many applications. Neuromorphic hardware platforms promise massively parallel, efficient computation, changing parallelism tradeoffs. In this work, we introduce NEURO-MAPP (Neuromorphic-based…

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