Christoffer Petersson
Showing 35 publications
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml
Equivariance versus Augmentation for Spherical Images
Object Detection as Probabilistic Set Prediction
Fast convolutional neural networks on FPGAs with hls4ml
ATLAS diboson excess from low scale supersymmetry breaking
750 GeV Diphoton Excess from the Goldstino Superpartner
Disappearing charged tracks in association with displaced leptons from supersymmetry
Baryon number violation in supersymmetry: n - (n)over-bar oscillations as a probe beyond the LHC
Proposing a new LHC search for light compressed stop squarks
Monojetlike Searches for Top Squarks with a b Tag
Multilepton signals of gauge mediated supersymmetry breaking at the LHC
Multiphoton signatures of goldstini at the LHC
Selectron NLSP in gauge mediation
Multilepton and multiphoton signatures of supersymmetry at the LHC
Light stop squarks and b-tagging
Patterns of Soft Masses from General Semi-Direct Gauge Mediation
Unscreening the Gaugino Mass with Chiral Messengers
D-instanton and polyinstanton effects from type I' D0-brane loops
Erratum: Natural semidirect gauge mediation and D-branes at singularities
Non-Perturbative Effects on a Fractional D3-Brane
Holomorphic corrections from wrapped Euclidean branes
On relating multiple M2 and D2-branes
Instantons and Toric Quiver Gauge Theories
Super potentials from stringy instantons without orientifolds
Stringy instantons at orbifold singularities
Massless fermionic bound states and the gauge/gravity correspondence
An introduction to supersymmetric gauge theories and matrix models
BARYONIC CORRECTIONS TO SUPERPOTENTIALS FROM PERTURBATION THEORY
Chiral SU(N) gauge theories and the Konishi anomaly
EXACT SUPERPOTENTIALS FOR THEORIES WITH FLAVORS VIA A MATRIX INTEGRAL
FREEZING OF MODULI WITH FLUXES IN THREE-DIMENSIONS
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Showing 1 research projects
Deep multi-object tracking for self-driving vehicles