Martin Trapp<p>Because I moved instances some time ago, a short re-<a href="https://ellis.social/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a>.</p><p>I am a postdoctoral researcher at Aalto University studying topics at the intersection of <a href="https://ellis.social/tags/tractable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tractable</span></a> models (probabilistic circuits), <a href="https://ellis.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deeplearning</span></a>, and <a href="https://ellis.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> methods with a focus on <a href="https://ellis.social/tags/nonparametrics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nonparametrics</span></a>. My goal is to develop and understand methods that are highly flexible & adaptive but allow tractable probabilistic inferences. I do a lot of <a href="https://ellis.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> stuff and care strongly about priors.</p><p>See: <a href="https://trappmartin.github.io" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">trappmartin.github.io</span><span class="invisible"></span></a></p>