Zobrazeno 1 - 10
of 489
pro vyhledávání: '"Bruck, Jehoshua"'
Neural networks successfully capture the computational power of the human brain for many tasks. Similarly inspired by the brain architecture, Nearest Neighbor (NN) representations is a novel approach of computation. We establish a firmer corresponden
Externí odkaz:
http://arxiv.org/abs/2402.08751
The Nearest Neighbor (NN) Representation is an emerging computational model that is inspired by the brain. We study the complexity of representing a neuron (threshold function) using the NN representations. It is known that two anchors (the points to
Externí odkaz:
http://arxiv.org/abs/2402.08748
We explore what we call ``omitted label contexts,'' in which training data is limited to a subset of the possible labels. This setting is common among specialized human experts or specific focused studies. We lean on well-studied paradoxes (Simpson's
Externí odkaz:
http://arxiv.org/abs/2311.06840
DNA-based storage is an emerging storage technology that provides high information density and long duration. Due to the physical constraints in the reading and writing processes, error correction in DNA storage poses several interesting coding theor
Externí odkaz:
http://arxiv.org/abs/2310.01729
Encoding data as a set of unordered strings is receiving great attention as it captures one of the basic features of DNA storage systems. However, the challenge of constructing optimal redundancy codes for this channel remained elusive. In this paper
Externí odkaz:
http://arxiv.org/abs/2308.07793
The $\textit{von Neumann Computer Architecture}$ has a distinction between computation and memory. In contrast, the brain has an integrated architecture where computation and memory are indistinguishable. Motivated by the architecture of the brain, w
Externí odkaz:
http://arxiv.org/abs/2305.05808
Autor:
Sima, Jin, Bruck, Jehoshua
One of the main challenges in developing racetrack memory systems is the limited precision in controlling the track shifts, that in turn affects the reliability of reading and writing the data. A current proposal for combating deletions in racetrack
Externí odkaz:
http://arxiv.org/abs/2207.08372
Neural gates compute functions based on weighted sums of the input variables. The expressive power of neural gates (number of distinct functions it can compute) depends on the weight sizes and, in general, large weights (exponential in the number of
Externí odkaz:
http://arxiv.org/abs/2205.08032
Consider multiple experts with overlapping expertise working on a classification problem under uncertain input. What constitutes a consistent set of opinions? How can we predict the opinions of experts on missing sub-domains? In this paper, we define
Externí odkaz:
http://arxiv.org/abs/2107.07054
Autor:
Sima, Jin, Bruck, Jehoshua
The trace reconstruction problem studies the number of noisy samples needed to recover an unknown string $\boldsymbol{x}\in\{0,1\}^n$ with high probability, where the samples are independently obtained by passing $\boldsymbol{x}$ through a random del
Externí odkaz:
http://arxiv.org/abs/2102.05372