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Related publications (17)
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Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics. Recent advances in generative neural networks have significantly impacted this ...
Iop Publishing Ltd2024J1721+8842: a gravitationally lensed binary quasar with a proximate damped Lyman-alpha absorber
Frédéric Courbin, Martin Raoul Robert Millon, Eric Gérard Guy Paic, Cameron Alexander Campbell Lemon, Hung-Hsu Chan, Adriano Agnello
High-redshift binary quasars provide key insights into mergers and quasar activity, and are useful tools for probing the spatial kinematics and chemistry of galaxies along the line of sight. However, only three sub-10-kpc binaries have been confirmed above ...
EDP SCIENCES S A2022RetroWrite: Statically Instrumenting COTS Binaries for Fuzzing and Sanitization
Analyzing the security of closed source binaries is currently impractical for end-users, or even developers who rely on third-party libraries. Such analysis relies on automatic vulnerability discovery techniques, most notably fuzzing with sanitizers enable ...
IEEE COMPUTER SOC2020