7 citations · 9 across the 7 of their papers we have counts for
7 papers
Surrogate-Based Differentiable Pipeline for Shape Optimization
Andrin Rehmann, Nolan Black, Josiah Bjorgaard +5
Gradient-based optimization of engineering designs is limited by non-differentiable components in the typical computer-aided engineering (CAE) workflow, which calculates performanc…
Performant Dynamically Typed E-Graphs in Pure Julia
Alessandro Cheli, Niklas Heim
We introduce the third major version of Metatheory.jl, a Julia library for general-purpose metaprogramming and symbolic computation. Metatheory.jl provides a flexible and performan…
Qadence: a differentiable interface for digital-analog programs
Dominik Seitz, Niklas Heim, João P. Moutinho +9
Digital-analog quantum computing (DAQC) is an alternative paradigm for universal quantum computation combining digital single-qubit gates with global analog operations acting on a…
Quantum Model-Discovery
Niklas Heim, Atiyo Ghosh, Oleksandr Kyriienko +1
Quantum computing promises to speed up some of the most challenging problems in science and engineering. Quantum algorithms have been proposed showing theoretical advantages in app…
Neural Power Units
Niklas Heim, Tomáš Pevný, Václav Šmídl
Conventional Neural Networks can approximate simple arithmetic operations, but fail to generalize beyond the range of numbers that were seen during training. Neural Arithmetic Unit…
Rodent: Relevance determination in differential equations
Niklas Heim, Václav Šmídl, Tomáš Pevný
We aim to identify the generating, ordinary differential equation (ODE) from a set of trajectories of a partially observed system. Our approach does not need prescribed basis funct…