Research & Insights

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Image for Proofs: pivoting an agentic pre-seed startup

Proofs: pivoting an agentic pre-seed startup

By: Alexandre Quemy

At Proofs, we operated a major shift from an autonomous multi-agents platform for end-to-end software development to human-in-the-loop multi-agents terminal-based tooling for software architecture.
We discuss a two years trajectory, from product market fit to technical and conceptual issues with agentic platforms.

AI SUMMIT BARCELONA

2026-09-15

Event Details

Latest Insight

Image for Function Calling in LLMs: A Signature Model Approach

Function Calling in LLMs: A Signature Model Approach

By: Alexandre Quemy

A client-side solution for LLM function calling using Python's Pydantic and function signatures to enable more flexible, context-aware function calling.

quemy.info

2025-06-12

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Cover for Introduction à l'informatique quantique

Introduction à l'informatique quantique

Gregoire Cattan

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All Talks & Presentations

Proofs: pivoting an agentic pre-seed startup

Presented by Alexandre Quemy

At Proofs, we operated a major shift from an autonomous multi-agents platform for end-to-end software development to human-in-the-loop multi-agents terminal-based tooling for software architecture.
We discuss a two years trajectory, from product market fit to technical and conceptual issues with agentic platforms.

AI SUMMIT BARCELONA

2026-09-15

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LLM Function Calling: a Signature Model Approach

Presented by Alexandre Quemy

I present a client-side alternative to native function calling with many benefits in terms of cost, agentic capabilities and scalability.

Data Science Summit 2025 AI // ML Edition

2025-06-05

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All Articles & Insights

Function Calling in LLMs: A Signature Model Approach

By: Alexandre Quemy

quemy.info - 2025-06-12

Introduces a novel approach to function calling in Large Language Models using a 'Signature Model' method. Proposes a client-side solution that overcomes current limitations in function calling.

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Stop using 'Correlation is not causation' and maybe stop using correlation

By: Alexandre Quemy

quemy.info - 2021-02-03

A critical examination of the concept of correlation, challenging the oversimplified "correlation is not causation" mantra and exploring the mathematical limitations of correlation coefficients.

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On controlling the propagation of numerical errors

By: Alexandre Quemy

quemy.info - 2021-01-05

Explores the challenges of numerical computations and floating-point arithmetic, focusing on how rounding errors propagate during calculations using the CESTAC method.

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Distributions, Laplace Transform and Initial Value Problem

By: Alexandre Quemy

quemy.info - 2021-01-09

Explores solving Initial Value Problems using distributions and the Laplace transform, presenting a unique algebraic perspective on the Laplace transform.

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Formal Publications

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Showing 30 of 30 publications

Quantum Computing

7 publications

Case-Based and Quantum Classification for ERP-Based Brain–Computer Interfaces

Cattan, G.H., Quemy, A. (2023) • Brain Sciences 13 (2), 303

First steps towards quantum machine learning applied to the classification of event-related potentials

Cattan, G., Quemy, A., Andreev, A. (2023) • arXiv preprint arXiv:2302.02648

Parkinson disease classification: a comparison of quantum and RBF kernels using support vector machine

Cattan, G., Olmos, J., Chauhan, Y., Martínez, F. (2025) • Quantum Machine Intelligence 7 (1), 64

Art makes quantum intuitive

Cattan, G., Duś, K., Kusmia, S., Stopa, T. (2024) • Frontiers in Quantum Science and Technology 3, 1397130

Quantum Denoising in the Realm of Brain-Computer Interfaces: A Preliminary Study

Mostafa, A., Chauhan, Y., Ahmed, W., Cattan, G. (2024) • October 6 University, Egypt; National Institute of Science Education

Quantum machine-based decision support system for the detection of schizophrenia from EEG records

Aksoy, G., Cattan, G., Chakraborty, S., Karabatak, M. (2024) • Journal of Medical Systems 48 (1), 29

pyRiemann-qiskit: a sandbox for quantum classification experiments with riemannian geometry

Andreev, A., Cattan, G., Chevallier, S., Barthélemy, Q. (2023) • Research Ideas and Outcomes 9, e101006

AI & Machine Learning

24 publications

A large reproducible benchmark on text classification for the legal domain based on the ECHR-OD repository

Quemy, A., Wrembel, R., Łopuszyńska, N., Papadakis, G., Delgado, A.D. (2023) • Information Systems 119, 102258

Judicial Independence and Impartiality: Tenure Changes at the European Court of Human Rights

Molbæk-Steensig, H., Quemy, A. (2023) • European Journal of International Law 34 (3), 581-614

MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front

Quemy, A., Schoenauer, M., Dreo, J. (2023) • arXiv preprint arXiv:2304.14659

Case-Based and Quantum Classification for ERP-Based Brain–Computer Interfaces

Cattan, G.H., Quemy, A. (2023) • Brain Sciences 13 (2), 303

First steps towards quantum machine learning applied to the classification of event-related potentials

Cattan, G., Quemy, A., Andreev, A. (2023) • arXiv preprint arXiv:2302.02648

Artificial intelligence and fair trial rights

Molbæk-Steensig, H., Quemy, A. (2023) • Oxford University Press

Parkinson disease classification: a comparison of quantum and RBF kernels using support vector machine

Cattan, G., Olmos, J., Chauhan, Y., Martínez, F. (2025) • Quantum Machine Intelligence 7 (1), 64

The Riemannian Means Field Classifier for EEG-Based BCI Data

Andreev, A., Cattan, G., Congedo, M. (2025) • Sensors 25 (7), 2305

Evaluation of the Electroencephalogram Conformer for the P300 Signal

Aristimunha, B., Cattan, G., Andreev, A. (2024) • Technical Report

Quantum machine-based decision support system for the detection of schizophrenia from EEG records

Aksoy, G., Cattan, G., Chakraborty, S., Karabatak, M. (2024) • Journal of Medical Systems 48 (1), 29

Towards an architectural framework for intelligent virtual agents using probabilistic programming

Andreev, A., Cattan, G. (2023) • arXiv preprint arXiv:2307.10693

pyRiemann-qiskit: a sandbox for quantum classification experiments with riemannian geometry

Andreev, A., Cattan, G., Chevallier, S., Barthélemy, Q. (2023) • Research Ideas and Outcomes 9, e101006

Cautiously Making Friends with AI: Machine Learning for human rights research and practice

Molbæk-Steensig, H., Quemy, A. (2021) • AI & Human Rights Friend or Foe?, The Erasmus School of Law

Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics

Dreo, J., Liefooghe, A., Verel, S., Schoenauer, M., Merelo, J., Quemy, A., Bouvier, B., Gmys, J. (2021) • Genetic and Evolutionary Computation Conference (GECCO)
Featured

GBEx, towards Graph-Based Explanations

Mróz, P., Quemy, A., et al. (2020) • International Conference Tools with Artificial Intelligence (ICTAI)

Two-stage Optimization for Machine Learning Workflow

Quemy, A. (2020) • Information Systems

Binary Classification In Unstructured Space With Hypergraph Case-Based Reasoning

Quemy, A. (2019) • Information Systems

Binary Classification With Hypergraph Case-Based Reasoning

Quemy, A. (2019) • International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP)

Binary Classification With Hypergraph Case-Based Reasoning

Quemy, A. (2018) • International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) @ EDBT/ICDT Joint Conference

AI for the legal domain: an explainability challenge

Quemy, A. (2018) • PhD Student Research Competition, IFIP World Computer Congress

Unsupervised Video Semantic Partitioning Using IBM Watson and Topic Modelling

Quemy, A., Jamrog, K., Janiszewski, M. (2018) • International Workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP) @ EDBT/ICDT Joint Conference

Data Science Techniques for Law and Justice: Current State of Research and Open Problems

Quemy, A. (2017) • Advances in Databases and Information Systems (ADBIS) Workshops and Short papers

Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve

Quemy, A., Schoenauer, M., Vidal, V., Dréo, J., Savéant, P. (2015) • Learning and Intelligent Optimization (LION)

True Pareto Fronts for Multi-objective AI Planning Instances

Quemy, A., Schoenauer, M. (2015) • Evolutionary Computation in Combinatorial Optimization (EvoCOP)

Brain-Computer Interfaces

6 publications

Case-Based and Quantum Classification for ERP-Based Brain–Computer Interfaces

Cattan, G.H., Quemy, A. (2023) • Brain Sciences 13 (2), 303

First steps towards quantum machine learning applied to the classification of event-related potentials

Cattan, G., Quemy, A., Andreev, A. (2023) • arXiv preprint arXiv:2302.02648

The Riemannian Means Field Classifier for EEG-Based BCI Data

Andreev, A., Cattan, G., Congedo, M. (2025) • Sensors 25 (7), 2305

Evaluation of the Electroencephalogram Conformer for the P300 Signal

Aristimunha, B., Cattan, G., Andreev, A. (2024) • Technical Report

Quantum Denoising in the Realm of Brain-Computer Interfaces: A Preliminary Study

Mostafa, A., Chauhan, Y., Ahmed, W., Cattan, G. (2024) • October 6 University, Egypt; National Institute of Science Education

Quantum machine-based decision support system for the detection of schizophrenia from EEG records

Aksoy, G., Cattan, G., Chakraborty, S., Karabatak, M. (2024) • Journal of Medical Systems 48 (1), 29

Data Science

14 publications

A large reproducible benchmark on text classification for the legal domain based on the ECHR-OD repository

Quemy, A., Wrembel, R., Łopuszyńska, N., Papadakis, G., Delgado, A.D. (2023) • Information Systems 119, 102258

Judicial Independence and Impartiality: Tenure Changes at the European Court of Human Rights

Molbæk-Steensig, H., Quemy, A. (2023) • European Journal of International Law 34 (3), 581-614

ydata-profiling: Accelerating data-centric AI with high-quality data

Clemente, F., Ribeiro, G.M., Quemy, A., Santos, M.S., Pereira, R.C., Barros, A. (2023) • Neurocomputing 554, 126585

Cautiously Making Friends with AI: Machine Learning for human rights research and practice

Molbæk-Steensig, H., Quemy, A. (2021) • AI & Human Rights Friend or Foe?, The Erasmus School of Law

ECHR-OD: On Building an Integrated Open Repository of Legal Documents for Machine Learning Applications

Quemy, A., Wrembel, R. (2021) • Information Systems

GBEx, towards Graph-Based Explanations

Mróz, P., Quemy, A., et al. (2020) • International Conference Tools with Artificial Intelligence (ICTAI)

On Integrating and Classifying Legal Text Documents

Quemy, A., Wrembel, R. (2020) • International Conference on Database and Expert Systems Applications (DEXA)

Two-stage Optimization for Machine Learning Workflow

Quemy, A. (2020) • Information Systems

Binary Classification In Unstructured Space With Hypergraph Case-Based Reasoning

Quemy, A. (2019) • Information Systems

Data Pipeline Selection and Optimization

Quemy, A. (2019) • International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP)

Binary Classification With Hypergraph Case-Based Reasoning

Quemy, A. (2019) • International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP)

Binary Classification With Hypergraph Case-Based Reasoning

Quemy, A. (2018) • International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) @ EDBT/ICDT Joint Conference

Unsupervised Video Semantic Partitioning Using IBM Watson and Topic Modelling

Quemy, A., Jamrog, K., Janiszewski, M. (2018) • International Workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP) @ EDBT/ICDT Joint Conference

Data Science Techniques for Law and Justice: Current State of Research and Open Problems

Quemy, A. (2017) • Advances in Databases and Information Systems (ADBIS) Workshops and Short papers

Software Engineering

5 publications

ydata-profiling: Accelerating data-centric AI with high-quality data

Clemente, F., Ribeiro, G.M., Quemy, A., Santos, M.S., Pereira, R.C., Barros, A. (2023) • Neurocomputing 554, 126585

Towards an architectural framework for intelligent virtual agents using probabilistic programming

Andreev, A., Cattan, G. (2023) • arXiv preprint arXiv:2307.10693

pyRiemann-qiskit: a sandbox for quantum classification experiments with riemannian geometry

Andreev, A., Cattan, G., Chevallier, S., Barthélemy, Q. (2023) • Research Ideas and Outcomes 9, e101006

Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics

Dreo, J., Liefooghe, A., Verel, S., Schoenauer, M., Merelo, J., Quemy, A., Bouvier, B., Gmys, J. (2021) • Genetic and Evolutionary Computation Conference (GECCO)
Featured

Data Pipeline Selection and Optimization

Quemy, A. (2019) • International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP)

Natural Language Processing

4 publications

A large reproducible benchmark on text classification for the legal domain based on the ECHR-OD repository

Quemy, A., Wrembel, R., Łopuszyńska, N., Papadakis, G., Delgado, A.D. (2023) • Information Systems 119, 102258

ECHR-OD: On Building an Integrated Open Repository of Legal Documents for Machine Learning Applications

Quemy, A., Wrembel, R. (2021) • Information Systems

On Integrating and Classifying Legal Text Documents

Quemy, A., Wrembel, R. (2020) • International Conference on Database and Expert Systems Applications (DEXA)

AI for the legal domain: an explainability challenge

Quemy, A. (2018) • PhD Student Research Competition, IFIP World Computer Congress