Publications

270 citations | h-index 9

• Fuzzy Logic for Biological Networks as ML Regression: Scaling to Single-Cell Datasets With Autograd (2022)

  Le Constance, Alice Driessen, Nicolas Deutschmann, Maria Rodriguez Martinez

  We present the BioFuzzNet module, a fuzzy logic tool to model signal transduction in biological networks.

• Is Attention Interpretation? a Quantitative Assessment on Sets (2022)

  Jonathan Haab, Nicolas Deutschmann, Maria Rodriguez Martinez

  The debate around the interpretability of attention mechanisms is centered on whether attention scores can be used as a proxy for the relative amounts of signal carried by sub-components of data.

• Modelling CAR T Cell Signalling Using Prior Knowledge Networks (2022)

  Alice Driessen, Rocío Castellanos Rueda, Constance Le Gac, Nicolas Deutschmann, Maria Rodriguez Martinez, Sai Reddy

  Chimeric antigen receptor (CAR) T cells are a promising new approach in cancer immunotherapy. Their safety, efficacy and phenotype depend heavily on the design of the CAR, which intracellular tail contains up to three domains derived from a range of cellular signalling receptors.

• Attention-Based Interpretable Regression of Gene Expression in Histology (2022)

  Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez

  Interpretability of deep learning is widely used to evaluate the reliability of medical imaging models and reduce the risks of inaccurate patient recommendations.

• Accelerating HEP Simulations With Neural Importance Sampling (2021)

  Nicolas Deutschmann, Niklas Götz

  Virtually all high-energy-physics (HEP) simulations for the LHC rely on Monte Carlo using importance sampling by means of the VEGAS algorithm.

• Quark Mass Effects in Two-Loop Higgs Amplitudes (2020)

  Charalampos Anastasiou, Nicolas Deutschmann, Armin Schweitzer

  We provide two two-loop amplitudes relevant for precision Higgs physics. The first is the two-loop amplitude for Higgs boson production through gluon fusion with exact dependence on the top quark mass up to squared order in the dimensional regulator ε.

• Momentum Mappings for Subtractions at Higher Orders in QCD (2019)

  Vittorio Del Duca, Nicolas Deutschmann, Simone Lionetti

  Subtraction schemes provide a systematic way to compute fully-differential cross sections beyond the leading order in the strong coupling constant.

• Top-Yukawa Contributions to BbH Production at the LHC (2019)

  Nicolas Deutschmann, Fabio Maltoni, Marius Wiesemann, Marco Zaro

  We study the production of a Higgs boson in association with bottom quarks in hadronic collisions at the LHC, including the different contributions stemming from terms proportional to the top-quark Yukawa coupling (y 2 t), to the bottom-quark one (y 2 b), and to their interference (y b y t).

• Gluon-Fusion Higgs Production in the Standard Model Effective Field Theory (Vol 12, 063, 2017) (2018)

  Nicolas Deutschmann, Claude Duhr, Fabio Maltoni, Eleni Vryonidou

• Gluon-Fusion Higgs Production in the Standard Model Effective Field Theory (2017)

  Nicolas Deutschmann, Claude Duhr, Fabio Maltoni, Eleni Vryonidou

  We provide the complete set of predictions needed to achieve NLO accuracy in the Standard Model Effective Field Theory at dimension six for Higgs production in gluon fusion.

• Precision Calculations in Effective Theories for Higgs Production (2017)

  Nicolas Deutschmann

  After a general introduction, this manuscript presents two preliminary chapters, describing first the physics context and the mathematical techniques used in this thesis.

• Current LHC Constraints on Minimal Universal Extra Dimensions (2017)

  Nicolas Deutschmann, Thomas Flacke, Jong Soo Kim

  In this letter, we present LHC limits on the minimal universal extra dimension (MUED) model from LHC Run 1 data and current limits from searches of the ongoing Run 2.

• Higgs Production at NLO in the Standard Model Effective Field Theory (2017)

  Nicolas Deutschmann

  The Effective Field Theory approach is a fruitful way of constraining new physics in a model independent way.

• Compact Extra Dimensions in Quantum Mechanics (2016)

  Nicolas Deutschmann

  Extra-dimensions are a common topic in popular descriptions of theoretical physics with which undergraduate student most often have no contact in physics courses.

• Towards Kaluza-Klein Dark Matter on Nilmanifolds (2016)

  David Andriot, Giacomo Cacciapaglia, Aldo Deandrea, Nicolas Deutschmann, Dimitrios Tsimpis

  We present a first study of the field spectrum on a class of negatively-curved compact spaces: nilmanifolds or twisted tori.

• Dark Matter and Localised Fermions From Spherical Orbifolds? (2016)

  Giacomo Cacciapaglia, Aldo Deandrea, Nicolas Deutschmann

  We study a class of six-dimensional models based on positive curvature surfaces (spherical 2-orbifolds) as extra-spaces.

• Multi-Tops at the LHC (2014)

  Aldo Deandrea, Nicolas Deutschmann

  The experiments at the LHC are searching for many different final states that can hint to the presence of new physics beyond the Standard Model.

• Simulating Spin-Particles at Colliders (2013)

  Neil D Christensen, Priscila De Aquino, Nicolas Deutschmann, Claude Duhr, Benjamin Fuks, Camilo Garcia-Cely, Olivier Mattelaer, Kentarou Mawatari, Bettina Oexl, Yoshinao Takaesu

• Simulating Spin- Particles at Colliders (2013)

  Neil D Christensen, Priscila De Aquino, Nicolas Deutschmann, Claude Duhr, Benjamin Fuks, Camilo Garcia-Cely, Olivier Mattelaer, Kentarou Mawatari, Bettina Oexl, Yoshinao Takaesu

  Support for interactions of spin- 3/2 particles is implemented in the FeynRules and ALOHA packages and tested with the MadGraph 5 and CalcHEP event generators in the context of three phenomenological applications.