{"id":1189844,"date":"2026-10-13T10:34:15","date_gmt":"2026-10-13T17:34:15","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-video&#038;p=1189844"},"modified":"2026-10-14T10:35:38","modified_gmt":"2026-10-14T17:35:38","slug":"scalable-training-of-diffusion-samplers-via-fixed-point-score-matching","status":"publish","type":"msr-video","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/video\/scalable-training-of-diffusion-samplers-via-fixed-point-score-matching\/","title":{"rendered":"Scalable Training of Diffusion Samplers via Fixed-point Score Matching"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">This talk explores recent advancements in neural sampling using diffusion models. I will begin by highlighting the shortcomings of prior methods and explaining how recent approaches, inspired by the success of data-driven paradigms, overcome these limitations. I will conclude by showcasing practical applications in materials science and reinforcement learning.<\/p>\n\n\n\n<h2 id=\"speaker-bio\" class=\"wp-block-heading h5\">Speaker bio<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Denis Blessing is a fourth-year PhD candidate at the Karlsruhe Institute of Technology (KIT) and a 2025 Google PhD Fellowship recipient. His research focuses on scalable algorithms for approximate inference and neural sampling with diffusion and flow models.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This talk explores recent advancements in neural sampling using diffusion models. I will begin by highlighting the shortcomings of prior methods and explaining how recent approaches, inspired by the success of data-driven paradigms, overcome these limitations. I will conclude by showcasing practical applications in materials science and reinforcement learning. Denis Blessing is a fourth-year PhD [&hellip;]<\/p>\n","protected":false},"featured_media":1189845,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-1189844","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/rbWbedgGIqc","msr_secondary_video_url":"","msr_video_file":"http:\/\/0","_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1189844","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":2,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1189844\/revisions"}],"predecessor-version":[{"id":1189850,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/1189844\/revisions\/1189850"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/1189845"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1189844"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1189844"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=1189844"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1189844"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1189844"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=1189844"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1189844"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1189844"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=1189844"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=1189844"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}