We present ongoing work on a new automatic code generation approach for
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We present a novel perspective and algorithm for learning directed acycl...
Möbius inversion of functions on partially ordered sets (posets)
𝒫 is a ...
We present a novel form of Fourier analysis, and associated signal proce...
Formal verification of neural networks is critical for their safe adopti...
A lattice is a partially ordered set supporting a meet (or join) operati...
Many applications of machine learning on discrete domains, such as learn...
Recent advances in Fourier analysis have brought new tools to efficientl...
Certifying the robustness of neural networks against adversarial attacks...
Signal processing on directed graphs (digraphs) is problematic, since th...
Set functions are functions (or signals) indexed by the power set (set o...
We present a novel class of convolutional neural networks (CNNs) for set...
Numerical software in computational science and engineering often relies...
A new generation of manycore processors is on the rise that offers dozen...
We propose a way of characterizing the algorithms computing a Walsh-Hada...