Physical Sciences › Engineering › Electrical and Electronic Engineering
graph theory and CDMA systems
4 papers indexed
This topic and its hierarchy come from the OpenAlex classification, the open catalogue of the world's scientific research.
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- Anatomy of a Sound Neural Reasoner: One-Shot Amortization, First-Pass Poisoning, and Search Inertness in Clue-Rich Completion
Aleksey Komissarov · 23 July 2026
Neural solvers are built to deduce, branch, and revise intermediate states. The Lattice Deduction Transformer (LDT) appears to do exactly that. In clue-rich Sudoku, it does not: one forward pass commits essentially the entire grid (every blank cell on standard 6x6, 94-96% on augmented 9x9), turning …
- Graph Coloring Approach to Solving Sudoku with Oscillatory Neural Networks
Filip Sabo, Aida Todri-Sanial · 20 July 2026
Oscillatory Neural Networks (ONNs) present an attractive physics-based computing paradigm rooted in the dynamics of a network of typically fully coupled oscillators aiming to minimize an underlying energy function. In this paper, we propose an ONN-based solver for one well-known constrained combinat…
- Automated Discovery of Improved Constant Weight Binary Codes
Christopher D. Rosin · 3 March 2026
A constant weight binary code consists of $n$-bit binary codewords, each with exactly $w$ bits equal to 1, such that any two codewords are at least Hamming distance $d$ apart. $A(n,d,w)$ is the maximum size of a constant weight binary code with parameters $n,d,w$. We establish improved lower bounds …
- Guided Discrete Diffusion for Constraint Satisfaction Problems
Justin Jung · 18 December 2025
We propose discrete diffusion guidance for constraint satisfaction problems (CSPs) and demonstrate its ability to solve Sudoku puzzles without supervision.…
- Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
Yikun Hou, Suvrit Sra, Alp Yurtsever · 4 November 2025
Gradient descent for matrix factorization exhibits an implicit bias toward approximately low-rank solutions. While existing theories often assume the boundedness of iterates, empirically the bias persists even with unbounded sequences. This reflects a dynamic where factors develop low-rank structure…
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