Pierre Baldi
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View article: Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks
Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks Open
A bstract The production of multiple Higgs bosons at the CERN LHC provides a direct way to measure the trilinear and quartic Higgs self-interaction strengths as well as potential access to beyond the standard model effects that can enhance…
View article: Mechanism-Aware Deep Learning for Polar Reaction Prediction
Mechanism-Aware Deep Learning for Polar Reaction Prediction Open
Accurately predicting chemical reactions is essential for driving innovation in synthetic chemistry, with broad applications in medicine, manufacturing, and agriculture. Yet reaction prediction remains a complex problem that is both time-c…
View article: Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics
Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics Open
Recent advances in Large Language Models (LLMs) have demonstrated their remarkable capacity to process and reason over structured and unstructured data modalities beyond natural language. In this work, we explore the applications of Vision…
View article: Towards mono-energetic virtual $ν$ beam cross-section measurements: A feasibility study of $ν$-Ar interaction analysis with DUNE-PRISM
Towards mono-energetic virtual $ν$ beam cross-section measurements: A feasibility study of $ν$-Ar interaction analysis with DUNE-PRISM Open
Neutrino-nucleus cross-section measurements are critical for future neutrino oscillation analyses. However, our models to describe them require further refinement, and a deeper understanding of the underlying physics is essential for futur…
View article: Operation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam
Operation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam Open
The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) neutrino beam at Fermi National Accelerator Laboratory (Ferm…
View article: Spatial and temporal evaluations of the liquid argon purity in ProtoDUNE-SP
Spatial and temporal evaluations of the liquid argon purity in ProtoDUNE-SP Open
Liquid argon time projection chambers (LArTPCs) rely on highly pure argon to ensure that ionization electrons produced by charged particles reach readout arrays. ProtoDUNE Single-Phase (ProtoDUNE-SP) was an approximately 700-ton liquid arg…
View article: Domain Knowledge Inclusive Monotonic Neural Network Guides Patient-Specific Induction of General Anesthesia Dosing
Domain Knowledge Inclusive Monotonic Neural Network Guides Patient-Specific Induction of General Anesthesia Dosing Open
BACKGROUND: Postinduction hypotension is a well-known risk factor for adverse postoperative outcomes. Anesthesiologists estimate anesthetic dosages based on a patient’s chart and domain knowledge. Machine learning is increasingly applied i…
View article: Cilia in the brain display region-dependent oscillations of length and orientation
Cilia in the brain display region-dependent oscillations of length and orientation Open
In this study, we conducted high-throughput spatiotemporal analysis of primary cilia length and orientation across 22 mouse brain regions. We developed automated image analysis algorithms, which enabled us to examine over 10 million indivi…
View article: Particle hit clustering and identification using point set transformers in liquid argon time projection chambers
Particle hit clustering and identification using point set transformers in liquid argon time projection chambers Open
Liquid argon time projection chambers are often used in neutrino physics and dark-matter searches because of their high spatial resolution. The images generated by these detectors are extremely sparse, as the energy values detected by most…
View article: Evaluating the Intelligence of large language models: A comparative study using verbal and visual IQ tests
Evaluating the Intelligence of large language models: A comparative study using verbal and visual IQ tests Open
Large language models (LLMs) excel on many specialized benchmarks, yet their general-reasoning ability remains opaque. We therefore test 18 models – including GPT-4, Claude 3 and Gemini Pro – on a 14-section IQ suite spanning verbal, numer…
View article: Succinate Modulation as a Novel Mechanism Underlying the Effects of Intermittent Fasting on Brain Function and Metabolism in Diet-Induced Obesity
Succinate Modulation as a Novel Mechanism Underlying the Effects of Intermittent Fasting on Brain Function and Metabolism in Diet-Induced Obesity Open
SUMMARY Obesity significantly impacts the central nervous system (CNS), increasing risks of neuropsychiatric disorders and dementia. Intermittent fasting (IF) shows promise for improving peripheral and CNS health, but its mechanisms are un…
View article: Supernova pointing capabilities of DUNE
Supernova pointing capabilities of DUNE Open
The determination of the direction of a stellar core collapse via its neutrino emission is crucial for the identification of the progenitor for a multimessenger follow-up. A highly effective method of reconstructing supernova directions wi…
View article: Interpretable Deep Learning for Polar Mechanistic Reaction Prediction
Interpretable Deep Learning for Polar Mechanistic Reaction Prediction Open
Accurately predicting chemical reactions is essential for driving innovation in synthetic chemistry, with broad applications in medicine, manufacturing, and agriculture. At the same time, reaction prediction is a complex problem which can …
View article: Full event particle-level unfolding with variable-length latent variational diffusion
Full event particle-level unfolding with variable-length latent variational diffusion Open
The measurements performed by particle physics experiments must account for the imperfect response of the detectors used to observe the interactions. One approach, unfolding, statistically adjusts the experimental data for detector effects…
View article: The DUNE Phase II Detectors
The DUNE Phase II Detectors Open
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy for the implementation of this leading-edge, large-…
View article: The DUNE Science Program
The DUNE Science Program Open
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy for the implementation of this leading-edge, large-…
View article: A Data Set of Plausible Proton Transfer Steps For Arrow-Pushing Mechanisms
A Data Set of Plausible Proton Transfer Steps For Arrow-Pushing Mechanisms Open
A large data set of kinetically plausible proton transfer steps was created. A set of over 48 million proton transfer steps, between heteroatoms, was generated combinatorially from a set of about 8,000 acids and conjugate bases for which e…
View article: The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data
The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data Open
This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection chambers (LArTPCs). The algorithm finds the most probable offs…
View article: Chemically Informed Deep Learning for Interpretable Radical Reaction Prediction
Chemically Informed Deep Learning for Interpretable Radical Reaction Prediction Open
Organic radical reactions are crucial in many areas of chemistry, including synthetic, biological, and atmospheric chemistry. We develop a predictive framework based on the interaction of molecular orbitals that operates on mechanistic-lev…
View article: The liver clock tunes transcriptional rhythms in skeletal muscle to regulate mitochondrial function
The liver clock tunes transcriptional rhythms in skeletal muscle to regulate mitochondrial function Open
Circadian clocks present throughout the brain and body coordinate diverse physiological processes to support daily homeostasis and respond to changing environmental conditions. The local dependencies within the mammalian clock network are …
View article: On the imperative of including 24-h and longitudinal multidimensional physiological phenotyping in rodent models of sleep apnea
On the imperative of including 24-h and longitudinal multidimensional physiological phenotyping in rodent models of sleep apnea Open
International audience
View article: Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks
Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks Open
The production of multiple Higgs bosons at the CERN LHC provides a direct way to measure the trilinear and quartic Higgs self-interaction strengths as well as potential access to beyond the standard model effects that can enhance productio…
View article: First measurement of the total inelastic cross section of positively charged kaons on argon at energies between 5.0 and 7.5 GeV
First measurement of the total inelastic cross section of positively charged kaons on argon at energies between 5.0 and 7.5 GeV Open
ProtoDUNE Single-Phase (ProtoDUNE-SP) is a 770-ton liquid argon time projection chamber that operated in a hadron test beam at the CERN Neutrino Platform in 2018. We present a measurement of the total inelastic cross section of charged kao…
View article: Fast multi-geometry calorimeter simulation with conditional self-attention variational autoencoders
Fast multi-geometry calorimeter simulation with conditional self-attention variational autoencoders Open
The simulation of detector response is a vital aspect of data analysis in particle physics, but current Monte Carlo methods are computationally expensive. Machine learning methods, which learn a mapping from incident particle to detector r…
View article: Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions Open
Recent advancements in Model-Based Reinforcement Learning (MBRL) have made it a powerful tool for visual control tasks. Despite improved data efficiency, it remains challenging to train MBRL agents with generalizable perception. Training i…
View article: Realizable Continuous-Space Shields for Safe Reinforcement Learning
Realizable Continuous-Space Shields for Safe Reinforcement Learning Open
While Deep Reinforcement Learning (DRL) has achieved remarkable success across various domains, it remains vulnerable to occasional catastrophic failures without additional safeguards. An effective solution to prevent these failures is to …
View article: The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data
The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data Open
This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection chambers (LArTPCs). The algorithm finds the most probable offs…
View article: Circadian cilia transcriptome in mouse brain across physiological and pathological states
Circadian cilia transcriptome in mouse brain across physiological and pathological states Open
Primary cilia are dynamic sensory organelles that continuously undergo structural modifications in response to environmental and cellular signals, many of which exhibit rhythmic patterns. Building on our previous findings of rhythmic cilia…