42 citations · 103 across the 21 of their papers we have counts for
26 papers
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Björn Engdahl, Adrian Kosowski, Jan Chorowski +6
We introduce BDH-CQ, a reasoning model that combines in-context learning with recurrent latent reasoning. Inputs presented at inference time continuously update the model's recurre…
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Adrian Kosowski, Przemysław Uznański, Jan Chorowski +2
The relationship between computing systems and the brain has served as motivation for pioneering theoreticians since John von Neumann and Alan Turing. Uniform, scale-free biologica…
Pathway: a fast and flexible unified stream data processing framework for analytical and Machine Learning applications
Michal Bartoszkiewicz, Jan Chorowski, Adrian Kosowski +8
We present Pathway, a new unified data processing framework that can run workloads on both bounded and unbounded data streams. The framework was created with the original motivatio…
Hardness of Exact Distance Queries in Sparse Graphs Through Hub Labeling
Adrian Kosowski, Przemysław Uznański, Laurent Viennot
A distance labeling scheme is an assignment of bit-labels to the vertices of an undirected, unweighted graph such that the distance between any pair of vertices can be decoded sole…
Exploiting Hopsets: Improved Distance Oracles for Graphs of Constant Highway Dimension and Beyond
Siddharth Gupta, Adrian Kosowski, Laurent Viennot
For fixed , we consider the task of adding to a graph a set of weighted shortcut edges on the same vertex set, such that the length of a shortest -hop path between…
Population Protocols Are Fast
Adrian Kosowski, Przemysław Uznański
A population protocol describes a set of state change rules for a population of indistinguishable finite-state agents (automata), undergoing random pairwise interactions. Withi…