Paul Brunzema
@pbrunzema.bsky.social
PhD student on learning-based control; interested in everything around Bayesian optimization and robotics
If you’re attending AISTATS this year, be sure to check out Mikkel’s paper on insights into deep ensembles!
I will soon be travelling to Thailand to present our recently accepted paper "On Local Posterior Structure in Deep Ensembles" at AISTATS! The paper was written with my joint first co-author Jonas Vestergaard Jensen, Mikkel Schmidt and Michael Riis Andersen. (1/7)
April 26, 2025 at 4:52 AM
If you’re attending AISTATS this year, be sure to check out Mikkel’s paper on insights into deep ensembles!
📣 Excited to present our ICLR spotlight paper at #ICLR2025!
"Bayesian Optimization via Continual Variational Last Layer Training"
📍 Poster #368 (Hall 3 + Hall 2B)
⏰ Friday during Poster Session 3
If you're in Singapore and interested in BO or Bayesian methods, definitely stop by!
More infos👇
"Bayesian Optimization via Continual Variational Last Layer Training"
📍 Poster #368 (Hall 3 + Hall 2B)
⏰ Friday during Poster Session 3
If you're in Singapore and interested in BO or Bayesian methods, definitely stop by!
More infos👇
📚 New Paper with collaborators from DTU, Vector, & Google DeepMind
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
April 22, 2025 at 10:48 PM
📣 Excited to present our ICLR spotlight paper at #ICLR2025!
"Bayesian Optimization via Continual Variational Last Layer Training"
📍 Poster #368 (Hall 3 + Hall 2B)
⏰ Friday during Poster Session 3
If you're in Singapore and interested in BO or Bayesian methods, definitely stop by!
More infos👇
"Bayesian Optimization via Continual Variational Last Layer Training"
📍 Poster #368 (Hall 3 + Hall 2B)
⏰ Friday during Poster Session 3
If you're in Singapore and interested in BO or Bayesian methods, definitely stop by!
More infos👇
Our paper got accepted to ICLR 2025! 🎉 Looking forward to meeting everyone in Singapur!
📚 New Paper with collaborators from DTU, Vector, & Google DeepMind
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
January 25, 2025 at 8:34 AM
Our paper got accepted to ICLR 2025! 🎉 Looking forward to meeting everyone in Singapur!
Reposted by Paul Brunzema
Wenn Donald Trump mit „America First“ zu Nationalismus aufruft, rufen wir mit 450 Millionen Europäer*innen zurück: „Europe United“ – Zusammenhalt, Freiheit, Demokratie in einem vereinten, starken Europa. Dafür braucht es uns alle.
👉🏻 gruene.de/mitglied-werden
👉🏻 gruene.de/mitglied-werden
January 20, 2025 at 5:46 PM
Wenn Donald Trump mit „America First“ zu Nationalismus aufruft, rufen wir mit 450 Millionen Europäer*innen zurück: „Europe United“ – Zusammenhalt, Freiheit, Demokratie in einem vereinten, starken Europa. Dafür braucht es uns alle.
👉🏻 gruene.de/mitglied-werden
👉🏻 gruene.de/mitglied-werden
Beautiful Vancouver—enjoying some days off after an inspiring yet exhausting NeurIPS 2024. With 16,500 attendees, countless technical discussions, and a few nice beers on the side, it’s been a great experience!
December 17, 2024 at 10:27 PM
Beautiful Vancouver—enjoying some days off after an inspiring yet exhausting NeurIPS 2024. With 16,500 attendees, countless technical discussions, and a few nice beers on the side, it’s been a great experience!
📚 New Paper with collaborators from DTU, Vector, & Google DeepMind
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
December 14, 2024 at 8:59 PM
📚 New Paper with collaborators from DTU, Vector, & Google DeepMind
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇