[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.] #  @PatrickPyn35903 Patrick Pynadath Patrick Pynadath posts on X about token, predictions, shoutout the most. They currently have XX followers and X posts still getting attention that total XXX engagements in the last XX hours. ### Engagements: XXX [#](/creator/twitter::1842637500667531264/interactions)  ### Mentions: X [#](/creator/twitter::1842637500667531264/posts_active)  ### Followers: XX [#](/creator/twitter::1842637500667531264/followers)  ### CreatorRank: XXXXXXXXX [#](/creator/twitter::1842637500667531264/influencer_rank)  ### Social Influence [#](/creator/twitter::1842637500667531264/influence) --- **Social topic influence** [token](/topic/token) 20%, [predictions](/topic/predictions) 20%, [shoutout](/topic/shoutout) XX% **Top accounts mentioned or mentioned by** [@thjashin](/creator/undefined) [@ruqizhang](/creator/undefined) ### Top Social Posts [#](/creator/twitter::1842637500667531264/posts) --- Top posts by engagements in the last XX hours "Benefits of continuous diffusion for discrete spaces: X. Coordinated updates across positionscrucial at low NFE when many tokens update simultaneously X. Trivial classifier guidancejust compute gradients from off-the-shelf classifiers and add to inference (6/8)" [X Link](https://x.com/PatrickPyn35903/status/1983365213081698538) [@PatrickPyn35903](/creator/x/PatrickPyn35903) 2025-10-29T02:48Z XX followers, XXX engagements "Simple solution: decouple discrete corruption from noise level and coordinate both explicitly. CANDI's hybrid kernel draws from masked + continuous diffusion letting models learn discrete conditional structure AND continuous score functions. Best of both worlds (4/8)" [X Link](https://x.com/PatrickPyn35903/status/1983365201627099169) [@PatrickPyn35903](/creator/x/PatrickPyn35903) 2025-10-29T02:48Z XX followers, XXX engagements "Token identifiability predicts: Continuous diffusion: works on small vocabs fails on large CANDI: effective regardless of vocab size We test on text8 vs. OWT with identical architectures. All three predictions confirmedtheory matches practice (5/8)" [X Link](https://x.com/PatrickPyn35903/status/1983365209613054270) [@PatrickPyn35903](/creator/x/PatrickPyn35903) 2025-10-29T02:48Z XX followers, XXX engagements "Interested Check out these links Project Page: ArXiv: Github: Grateful to @thjashin and @ruqi_zhang for guidance and help with this project (7/8)" [X Link](https://x.com/PatrickPyn35903/status/1983365215657046073) [@PatrickPyn35903](/creator/x/PatrickPyn35903) 2025-10-29T02:48Z XX followers, XXX engagements "Shoutout to concurrent work CADD and CCDD exploring hybrid diffusion Our angle: we explain why continuous diffusion fails on discrete spaces and why hybrid methods workproviding theoretical grounding for this direction (8/8)" [X Link](https://x.com/PatrickPyn35903/status/1983365218097942543) [@PatrickPyn35903](/creator/x/PatrickPyn35903) 2025-10-29T02:48Z XX followers, XXX engagements
[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.]
@PatrickPyn35903 Patrick Pynadath
Patrick Pynadath posts on X about token, predictions, shoutout the most. They currently have XX followers and X posts still getting attention that total XXX engagements in the last XX hours.
Engagements: XXX #
Mentions: X #
Followers: XX #
CreatorRank: XXXXXXXXX #
Social Influence #
Social topic influence token 20%, predictions 20%, shoutout XX%
Top accounts mentioned or mentioned by @thjashin @ruqizhang
Top Social Posts #
Top posts by engagements in the last XX hours
"Benefits of continuous diffusion for discrete spaces: X. Coordinated updates across positionscrucial at low NFE when many tokens update simultaneously X. Trivial classifier guidancejust compute gradients from off-the-shelf classifiers and add to inference (6/8)"
X Link @PatrickPyn35903 2025-10-29T02:48Z XX followers, XXX engagements
"Simple solution: decouple discrete corruption from noise level and coordinate both explicitly. CANDI's hybrid kernel draws from masked + continuous diffusion letting models learn discrete conditional structure AND continuous score functions. Best of both worlds (4/8)"
X Link @PatrickPyn35903 2025-10-29T02:48Z XX followers, XXX engagements
"Token identifiability predicts: Continuous diffusion: works on small vocabs fails on large CANDI: effective regardless of vocab size We test on text8 vs. OWT with identical architectures. All three predictions confirmedtheory matches practice (5/8)"
X Link @PatrickPyn35903 2025-10-29T02:48Z XX followers, XXX engagements
"Interested Check out these links Project Page: ArXiv: Github: Grateful to @thjashin and @ruqi_zhang for guidance and help with this project (7/8)"
X Link @PatrickPyn35903 2025-10-29T02:48Z XX followers, XXX engagements
"Shoutout to concurrent work CADD and CCDD exploring hybrid diffusion Our angle: we explain why continuous diffusion fails on discrete spaces and why hybrid methods workproviding theoretical grounding for this direction (8/8)"
X Link @PatrickPyn35903 2025-10-29T02:48Z XX followers, XXX engagements