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description= AI Researcher at the Samsung SAIT AI Lab 🐱💻;
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alexia jolicoeur martineau ph d ai researcher at the samsung sait ai lab skip to content alexia jolicoeur martineau ph d ai researcher at the samsung sait ai lab menu home follow me contact legit meow generator relativistic gan relativistic f divergences diffusion 101 adversarial diffusion gotta go fast masked video diffusion papa forest diffusion molecule generation multi agent game generation eval tiny recursive models trms any property conditional molecule generation with self criticism using spanning trees stgg july 15 2024 march 12 2025 alexia jolicoeur martineau leave a comment update 2025 03 12 we have since improved stgg and added active learning stgg al it beats rl method at generating molecules with complex properties the molecules we get are much nicer than the ones from the original paper molecule synthesizability can be improved simply by adding constraints such as max ring size 6 and removing too large molecules continue reading any property conditional molecule generation with self criticism using spanning trees stgg fashion repeats itself generating tabular data via diffusion and xgboost september 19 2023 september 20 2023 alexia jolicoeur martineau 3 comments paper code since alexnet showed the world the power of deep learning the field of ai has rapidly switched to almost exclusively focus on deep learning some of the main justifications are that 1 neural networks are universal function approximation ufa not ufo 2 deep learning generally works the best and 3 it continue reading fashion repeats itself generating tabular data via diffusion and xgboost masked conditional video diffusion for prediction generation and interpolation may 22 2022 may 27 2022 alexia jolicoeur martineau 3 comments in this joint work with vikram voleti and christopher pal we show that a single diffusion model can solve many video tasks 1 interpolation 2 forward reverse prediction and 3 unconditional generation through a well designed masking scheme ️ see our website which contains many videos https mask cond video diffusion github io the paper can be found here the code is available continue reading masked conditional video diffusion for prediction generation and interpolation alternative losses for relativistic gans october 1 2018 alexia jolicoeur martineau 9 comments further investigation needs to be done but i suspect some variants of relativistic average gans ragans might be more sensible than the ones i proposed in my paper if you are using relativistic gans you might be interested in trying out also variant 3 which is the most promising for simplicity let s assume we use the continue reading alternative losses for relativistic gans create a free website or blog at wordpress com subscribe subscribed alexia jolicoeur martineau ph d sign me up already have a wordpress com account log in now privacy alexia jolicoeur martineau ph d subscribe subscribed sign up log in report this content view site in reader manage subscriptions collapse this bar loading comments write a comment email required name required website
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