PhD student at Karlsruhe Institute of Technology, Germany - Working on variational inference and sampling
Joined December 2024
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Denis Blessing retweeted
We present the Bridge Matching Sampler at ICML today (5pm, #3311), a version of stochastic interpolants that does not need data from the target, but only a density. We iterate reciprocal and Markovian projections and employ a fixed-point iteration, see openreview.net/pdf?id=gUbNUN….
Denis Blessing retweeted
🌻 One final paper for 2025 :) really excited about this work with @PPotaptchik and @brianlee_lck. We show that there is an analytical ODE connecting a flow/map/diffusion model to its tilted alternative.
Allows us to turn fine-tuning into an iterative regression! Works well and has nice scaling properties :) check it out, and stay tuned for more!
🎆⭐️You thought 2025 would end quietly? Think again. One last exciting update: Tilt Matching!⭐️🎆
We propose a simple, scalable algorithm to sample unnormalized densities and fine-tune generative models
📄: arxiv.org/abs/2512.21829
With @brianlee_lck @msalbergo
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