[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @shaulneta Neta Shaul Neta Shaul posts on X about generative the most. They currently have XXX followers and X posts still getting attention that total XXXXXX engagements in the last XX hours. ### Engagements: XXXXXX [#](/creator/twitter::1668955983391883264/interactions)  - X Week XXXXXX +14% ### Mentions: X [#](/creator/twitter::1668955983391883264/posts_active)  ### Followers: XXX [#](/creator/twitter::1668955983391883264/followers)  - X Week XXX +13% ### CreatorRank: XXXXXXX [#](/creator/twitter::1668955983391883264/influencer_rank)  ### Social Influence [#](/creator/twitter::1668955983391883264/influence) --- **Social topic influence** [generative](/topic/generative) #11 ### Top Social Posts [#](/creator/twitter::1668955983391883264/posts) --- Top posts by engagements in the last XX hours "@Fate_10kokoro @Fate_10kokoro heres the r.v DTM samples informally: if k is large and k/T small then repeatedly sampling the transition kernel k times with step size 1/T is roughly an Euler step of size k/T with the kernels expectation as velocity"  [@shaulneta](/creator/x/shaulneta) on [X](/post/tweet/1945416614351962299) 2025-07-16 09:33:59 UTC XXX followers, XXX engagements "1/n New paper alert 🚀 Excited to introduce () We're replacing short-timestep kernels from Flow Matching/Diffusion with. a generative model🤯 achieving SOTA text-2-image generation @urielsinger @itai_gat @lipmanya"  [@shaulneta](/creator/x/shaulneta) on [X](/post/tweet/1940386756454723661) 2025-07-02 12:27:08 UTC XXX followers, 76.9K engagements "DTM vs FM👇 Lots of interest in how Difference Transition Matching (DTM) connects to Flow Matching (FM). Here is a short animation that illustrates Theorem X in our paper: For a very small step size (1/T) DTM converges to an Euler step of FM"  [@shaulneta](/creator/x/shaulneta) on [X](/post/tweet/1945049196605706636) 2025-07-15 09:14:00 UTC XXX followers, 20.1K engagements
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@shaulneta Neta Shaul
Neta Shaul posts on X about generative the most. They currently have XXX followers and X posts still getting attention that total XXXXXX engagements in the last XX hours.
Engagements: XXXXXX #
- X Week XXXXXX +14%
Mentions: X #
Followers: XXX #
- X Week XXX +13%
CreatorRank: XXXXXXX #
Social Influence #
Social topic influence generative #11
Top Social Posts #
Top posts by engagements in the last XX hours
"@Fate_10kokoro @Fate_10kokoro heres the r.v DTM samples informally: if k is large and k/T small then repeatedly sampling the transition kernel k times with step size 1/T is roughly an Euler step of size k/T with the kernels expectation as velocity"
@shaulneta on X 2025-07-16 09:33:59 UTC XXX followers, XXX engagements
"1/n New paper alert 🚀 Excited to introduce () We're replacing short-timestep kernels from Flow Matching/Diffusion with. a generative model🤯 achieving SOTA text-2-image generation @urielsinger @itai_gat @lipmanya" @shaulneta on X 2025-07-02 12:27:08 UTC XXX followers, 76.9K engagements
"DTM vs FM👇 Lots of interest in how Difference Transition Matching (DTM) connects to Flow Matching (FM). Here is a short animation that illustrates Theorem X in our paper: For a very small step size (1/T) DTM converges to an Euler step of FM" @shaulneta on X 2025-07-15 09:14:00 UTC XXX followers, 20.1K engagements