Antonin Sulc

According to our database1, Antonin Sulc authored at least 34 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Event Embedding of Protein Networks : Compositional Learning of Biological Function.
CoRR, April, 2026

Modal Logical Neural Networks for Financial AI.
CoRR, March, 2026

Continuous Modal Logical Neural Networks: Modal Reasoning via Stochastic Accessibility.
CoRR, March, 2026

Differentiable Modal Logic for Multi-Agent Diagnosis, Orchestration and Communication.
CoRR, February, 2026

Solving PDEs in One Shot via Fourier Features with Exact Analytical Derivatives.
CoRR, February, 2026

Differentiable Logical Programming for Quantum Circuit Discovery and Optimization.
CoRR, February, 2026

2025
From Natural Language to Control Signals: A Conceptual Framework for Semantic Channel Finding in Complex Experimental Infrastructure.
CoRR, December, 2025

Modal Logical Neural Networks.
CoRR, December, 2025

Agentic AI for Multi-Stage Physics Experiments at a Large-Scale User Facility Particle Accelerator.
CoRR, September, 2025

Unsupervised Anomaly Detection in ALS EPICS Event Logs.
CoRR, September, 2025

Event2Vec: A Geometric Approach to Learning Composable Representations of Event Sequences.
CoRR, September, 2025

Neuro-Symbolic Agents with Modal Logic for Autonomous Diagnostics.
CoRR, September, 2025

Quantum Noise Tomography with Physics-Informed Neural Networks.
CoRR, September, 2025

A Straightforward Pipeline for Targeted Entailment and Contradiction Detection.
CoRR, August, 2025

Alpha Berkeley: A Scalable Framework for the Orchestration of Agentic Systems.
CoRR, August, 2025

eLog analysis for accelerators: status and future outlook.
CoRR, June, 2025

2024
Towards Agentic AI on Particle Accelerators.
CoRR, 2024

Towards Unlocking Insights from Logbooks Using AI.
CoRR, 2024

Automated Anomaly Detection on European XFEL Klystrons.
CoRR, 2024

2023
PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators.
CoRR, 2023

Textual Analysis of ICALEPCS and IPAC Conference Proceedings: Revealing Research Trends, Topics, and Collaborations for Future Insights and Advanced Search.
CoRR, 2023

Log Anomaly Detection on EuXFEL Nodes.
CoRR, 2023

2021
Towards Monocular Shape from Refraction.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Light Field Analysis for Non-Lambertian Scenes.
PhD thesis, 2020

2019
Depth from Spectral Defocus Blur.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

An Epipolar Volume Autoencoder With Adversarial Loss for Deep Light Field Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017
Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017


2016
Reflection Separation in Light Fields based on Sparse Coding and Specular Flow.
Proceedings of the 21st International Symposium on Vision, Modeling, and Visualization, 2016

Occlusion-Aware Depth Estimation Using Sparse Light Field Coding.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

What Sparse Light Field Coding Reveals about Scene Structure.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Layered Scene Reconstruction from Multiple Light Field Camera Views.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Variational Separation of Light Field Layers.
Proceedings of the 20th International Symposium on Vision, Modeling, and Visualization, 2015

On Linear Structure from Motion for Light Field Cameras.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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