activity
20182026
most citedA Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

A scaling law of contextual persistence in human language

Elan Barenholtz

Human language exhibits lawful structure at the level of words (frequency, vocabulary growth) and word pairs (co-occurrence across distance). Here we show that the arrangement of w…

cs.CL2026

Trajectory Dynamics in Language Model Hidden States Predict Human Processing Costs Beyond Surprisal

Elan Barenholtz

Human language comprehension unfolds sequentially: each word is processed in the context of those that came before, and the interpretation builds incrementally over time. Surprisal…

cs.CL2026

World Properties without World Models: Distributional Associations and the Interpretation of Decoding Results from Language Models

Elan Barenholtz

A growing literature shows that variables can be linearly decoded from the activations of large language models (LLMs). These range from properties of the world, such as the locati…

cs.LG2021

The Role of Bio-Inspired Modularity in General Learning

Rachel A. StClair, William Edward Hahn, Elan Barenholtz

One goal of general intelligence is to learn novel information without overwriting prior learning. The utility of learning without forgetting (CF) is twofold: first, the system can…

cs.LG2018★ 3 cited

A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle

Michael Teti, William Edward Hahn, Shawn Martin +2

Self-driving technology is advancing rapidly --- albeit with significant challenges and limitations. This progress is largely due to recent developments in deep learning algorithms…