Search Results for author:
Found 15 papers, 9 papers with code
PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models
We present PAPERCLIP (Proposal Abstracts Provide an Effective Representation for Contrastive Language-Image Pre-training), a method which associates astronomical observations imaged by telescopes with natural language using a neural network model.
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling
Moment Pooling generalizes the summation in Deep Sets to arbitrary multivariate moments, which enables the model to achieve a much higher effective latent dimensionality for a fixed latent dimension.
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets
With the vast data-collecting capabilities of current and future high-energy collider experiments, there is an increasing demand for computationally efficient simulations.
Bias and Priors in Machine Learning Calibrations for High Energy Physics
Machine learning offers an exciting opportunity to improve the calibration of nearly all reconstructed objects in high-energy physics detectors.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
A common setting for scientific inference is the ability to sample from a high-fidelity forward model (simulation) without having an explicit probability density of the data.
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
There have been a number of recent proposals to enhance the performance of machine learning strategies for collider physics by combining many distinct events into a single ensemble feature.
Data-driven quark and gluon jet modification in heavy-ion collisions
Whether quark- and gluon-initiated jets are modified differently by the quark-gluon plasma produced in heavy-ion collisions is a long-standing question that has thus far eluded a definitive experimental answer.
High Energy Physics - Phenomenology Nuclear Theory
A Robust Measure of Event Isotropy at Colliders
We introduce a new event shape observable -- event isotropy -- that quantifies how close the radiation pattern of a collider event is to a uniform distribution.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2
We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum.
High Energy Physics - Phenomenology High Energy Physics - Experiment
OmniFold: A Method to Simultaneously Unfold All Observables
Collider data must be corrected for detector effects ("unfolded") to be compared with many theoretical calculations and measurements from other experiments.
First Results from ABRACADABRA-10 cm: A Search for Sub-$μ$eV Axion Dark Matter
To date, the available parameter space for axion and axion-like particle dark matter is relatively unexplored, particularly at masses $m_a\lesssim1\,\mu$eV.
High Energy Physics - Experiment Instrumentation and Detectors
Energy Flow Networks: Deep Sets for Particle Jets
A key question for machine learning approaches in particle physics is how to best represent and learn from collider events.
Searching for Axion Dark Matter with Birefringent Cavities
Axion-like particles are a broad class of dark matter candidates which are expected to behave as a coherent, classical field with a weak coupling to photons.
High Energy Physics - Phenomenology Cosmology and Nongalactic Astrophysics Instrumentation and Detectors Optics
On the Topic of Jets: Disentangling Quarks and Gluons at Colliders
We introduce jet topics: a framework to identify underlying classes of jets from collider data.
Classification without labels: Learning from mixed samples in high energy physics
In this paper, we introduce the paradigm of classification without labels (CWoLa) in which a classifier is trained to distinguish statistical mixtures of classes, which are common in collider physics.
