2 citations · 2 across the 1 of their papers we have counts for
19 papers
Agentic Artificial Intelligence for Multistage Physics Experiments at a Large-Scale User Facility Particle Accelerator
Thorsten Hellert, Drew Bertwistle, Simon C. Leemann +2
We present the first language-model-driven agentic artificial intelligence (AI) system to autonomously execute multi-stage physics experiments on a production synchrotron light sou…
Differentiable Logical Programming for Quantum Circuit Discovery and Optimization
Antonin Sulc
Designing high-fidelity quantum circuits remains challenging, and current paradigms often depend on heuristic, fixed-ansatz structures or rule-based compilers that can be suboptima…
Event Embedding of Protein Networks : Compositional Learning of Biological Function
Antonin Sulc
In this work, we study whether enforcing strict compositional structure in sequence embeddings yields meaningful geometric organization when applied to protein-protein interaction…
FastLSQ: Solving PDEs in One Shot via Fourier Features with Exact Analytical Derivatives
Antonin Sulc
We present FastLSQ, a framework for PDE solving and inverse problems built on trigonometric random Fourier features with exact analytical derivatives. Trigonometric features admit…
Modal Logical Neural Networks for Financial AI
Antonin Sulc
The financial industry faces a critical dichotomy in AI adoption: deep learning often delivers strong empirical performance, while symbolic logic offers interpretability and rule a…
Continuous Modal Logical Neural Networks: Modal Reasoning via Stochastic Accessibility
Antonin Sulc
We propose Fluid Logic, a paradigm in which modal logical reasoning, temporal, epistemic, doxastic, deontic, is lifted from discrete Kripke structures to continuous manifolds via N…