Boolean Functions
PulseAugur coverage of Boolean Functions — every cluster mentioning Boolean Functions across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
-
BDD2Seq framework enhances reversible-circuit synthesis for quantum computing
Researchers have developed BDD2Seq, a novel graph-to-sequence framework designed to improve reversible-circuit synthesis for quantum computing. This approach utilizes a Graph Neural Network encoder and a Pointer-Network…
-
New research proves algorithmic separation between constant and logarithmic depth neural networks
Researchers have established the first algorithmic separation between constant-depth and logarithmic-depth neural networks. They identified a class of Boolean functions with structured Fourier spectra that can be effici…
-
New method improves learning of discrete distribution parameters
Researchers have developed a new method for efficiently learning the natural parameters of discrete distributions from samples within a specific subset. This approach refines existing guarantees under a 'fatness' assump…
-
Local cycles identified as key design principle for neural network computation
Researchers have identified key structural design principles that enhance the computational abilities of recurrent neural networks. By training numerous networks to compute Boolean functions, they discovered that networ…
-
Cartesian Genetic Programming runtime analyzed for Boolean functions
A new paper analyzes the runtime of Cartesian Genetic Programming (CGP) when evolving Boolean functions. Researchers established an asymptotic bound of O(n D^5) for CGP to construct a conjunction of n inputs using D bin…
-
Research: RL and SFT Differently Teach Transformers Boolean Functions
A new research paper explores how transformers learn sparse Boolean functions, comparing the distinct mechanisms of Reinforcement Learning (RL) with process rewards and Supervised Fine-Tuning (SFT). The study identifies…