AI for the study and control of accelerators

study and control of accelerators

Daniel reclassified: Application of DNN to Type 1A SN for inference about model parameters

technology transfers: from the particle physics to applications in medical science

NOT ML: augmented REU to benefit URMs

NOT ML: policy to reduce bias in hiring

NOT ML: inclusion and identity re engineers/scientists

NOT ML: community college research programs

NOT ML: pipeline for instrumentation scientists

NOT ML: inclusion for d/Deaf and Hard-of-Hearing

NOT ML: Best Practices for Demographic Surveys

SNOWMASS21-CommF3_CommF0-TF0_TF0-AF0_AF0_Samuel_Meehan-028

NOT ML: Cultivating Math and Science in Africa

NOT ML: Enforcing Collaboration Codes of Conduct

NOT ML: Codes of Conduct alternatives

NOT ML: Equity and Inclusion in collaborations

NOT ML: new protocols and policies for communication of the Snowmass/P5 process

NOT ML: Science outreach and the underrepresented public

NOT ML: diversity in graduate admissions

NOT ML: survey / database for high school outreach

NOT ML: participation in public engagement should be a planned

NOT ML: paradigms for for public engagement and communication

Ethical implications of computational research, incl AI

SNOWMASS21-CompF0_CompF0-CommF3_CommF0_Samuel_Meehan-033

Management of defunct computing resources

repurposing defunct computing for educational uses

ML for data processing from cosmological surveys

Robust data pipelines for cosmological data studies

Case study of improve resolution using DNNs

Ideas for developing ML courses for HEP students

Supporting career tracks for ML-HEP

Fast ML on FPGAs, GPUs, and ASICs, eg for triggers

Use of HPCs for ML, eg hyperparameter optimization

SNOWMASS21-CompF3_CompF2-CF6_CF3-CommF1_CommF6_brian_nord-103

Symbiosis of AI and Cosmology

Differentiable simulators

Simulations for DM or neutrinos

Interpretation and robustness for rare events

ML for lattice-specific challenges

Fast simulations for cosmology

Interpretation of results in cosmology

Resource needs for cosmology, HPC applications

Education of cosmology students in ML

Accelerating ME-integrated likelihoods with ML

ML based in physical symmetries

ML for lattice-specific challenges

Schools and college curriculum for ML in physics

Fast simulation for Belle2

Differntiable programming could be part of comm.tools or its own topic

statistical learning with a compatibility constraints to past measurements

2 paragraph, generic interest in discriminative model for analysis

GAN for nuclear physics (parton shower, quark-gluon plasma) [ Daniel reclassified, I dont see any simulation related topics in here]

SNOWMASS21-EF5_EF7-TF7_TF0-IF6_IF3-CompF3_CompF0_Ben_Nachman-140

ML for jet substructure analysis and reconstruction (not much ML details), BOOST collaboration

SNOWMASS21-EF6_EF5-TF7_TF10-CompF3_CompF2-CommF3_CommF2_simonetta_liuti-159

1-paragraph-ML for the unfolding of nucleon's multidimensional structure from EIC data

Reclassified by Daniel: Applications of ML to heavy-ion-specific problems

1-paragraph-ML for jet analysis and generation

Community paper on anomaly detection at future colliders

1-sentence-ML for trigger for low energy events in DUNE

Online and active learning, run control (learning trigger) system

Fast/Edge-ML for high data rate detectors

Fast/Edge-ML tools and strategy within HEP (e.g. HLS4ML)

Fast/Edge-ml for real-time data process pipeline

Computer vision ML for sparse data

Generally sparse, locally dense data, physics-informed ML

Simulator w/ differentiable programming

ML w/ causal structure, inductive bias, probabilistic model for UQ

HPC for training and inference for big image data

Public dataset for cross-cut development

Anomaly detection for new physics search

Not really ML, DNN for jet topology classifier

SNOWMASS21-UF4_UF3-NF5_NF6-CF1_CF0-IF3_IF0-CompF2_CompF3-CommF5_CommF0-006

Physical interpretation of NN weights

(Daniel removed, I don't see simulation discussion in this LOI)

Probabilistic model for NN uncertainty