Mona Schirmer
@monaschir.bsky.social
PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
Probabilistic Machine Learning | Sequence Models
Happening soon!
Work with @metodjazbec.bsky.social @canaesseth.bsky.social @enalisnick.bsky.social
Work with @metodjazbec.bsky.social @canaesseth.bsky.social @enalisnick.bsky.social
📜 Monitoring Risks in Test-Time Adaptation
(ICML PUT Workshop Oral!)
Time: Fri 18 Jul 10 a.m. PDT
Location: West Meeting Room 220-222
Presenter: @monaschir.bsky.social
arxiv.org/abs/2507.08721
(ICML PUT Workshop Oral!)
Time: Fri 18 Jul 10 a.m. PDT
Location: West Meeting Room 220-222
Presenter: @monaschir.bsky.social
arxiv.org/abs/2507.08721
Monitoring Risks in Test-Time Adaptation
Encountering shifted data at test time is a ubiquitous challenge when deploying predictive models. Test-time adaptation (TTA) methods address this issue by continuously adapting a deployed model using...
arxiv.org
July 18, 2025 at 7:43 AM
Happening soon!
Work with @metodjazbec.bsky.social @canaesseth.bsky.social @enalisnick.bsky.social
Work with @metodjazbec.bsky.social @canaesseth.bsky.social @enalisnick.bsky.social
Reposted by Mona Schirmer
🧑🏫Neural Flow Diffusion Models at #NeurIPS2024 tomorrow! Discover how to build learnable noising processes for straight-line generative trajectories end-to-end and without simulations!🤯
📍West Ballroom A-D #6809
⏰Fri 13 Dec 4:30 pm — 7:30 pm
🔗https://neurips.cc/virtual/2024/poster/94656
📍West Ballroom A-D #6809
⏰Fri 13 Dec 4:30 pm — 7:30 pm
🔗https://neurips.cc/virtual/2024/poster/94656
December 13, 2024 at 2:57 AM
🧑🏫Neural Flow Diffusion Models at #NeurIPS2024 tomorrow! Discover how to build learnable noising processes for straight-line generative trajectories end-to-end and without simulations!🤯
📍West Ballroom A-D #6809
⏰Fri 13 Dec 4:30 pm — 7:30 pm
🔗https://neurips.cc/virtual/2024/poster/94656
📍West Ballroom A-D #6809
⏰Fri 13 Dec 4:30 pm — 7:30 pm
🔗https://neurips.cc/virtual/2024/poster/94656