Tom Hartvigsen
@tomhartvigsen.bsky.social
Assistant Professor of Data Science at UVA developing responsible machine learning and NLP methods for ever-changing environments. https://www.tomhartvigsen.com/
Excited there's another time series for health workshop at NeurIPS this year --- submit your work!
Only 10 days left to submit to the Time-series 4 Health Workshop at #NeurIPS2025 ! timeseries4health.github.io/call_for_pap...
Call for Papers | Learning from Time Series for Health
NeurIPS Workshop on Learning from Time Series for Health.
timeseries4health.github.io
August 13, 2025 at 12:46 PM
Excited there's another time series for health workshop at NeurIPS this year --- submit your work!
Reposted by Tom Hartvigsen
🩺📈 The "Learning from Time-series for Health (TS4H)" workshop is BACK at NeurIPS 2025 🥳!
This workshop unites researchers across health time-series domains (from wearables to clinical systems) to tackle shared challenges. Details: timeseries4health.github.io 🧵 (1/6)
This workshop unites researchers across health time-series domains (from wearables to clinical systems) to tackle shared challenges. Details: timeseries4health.github.io 🧵 (1/6)
Home | Learning from Time Series for Health
NeurIPS Workshop on Learning from Time Series for Health.
timeseries4health.github.io
July 18, 2025 at 7:56 PM
🩺📈 The "Learning from Time-series for Health (TS4H)" workshop is BACK at NeurIPS 2025 🥳!
This workshop unites researchers across health time-series domains (from wearables to clinical systems) to tackle shared challenges. Details: timeseries4health.github.io 🧵 (1/6)
This workshop unites researchers across health time-series domains (from wearables to clinical systems) to tackle shared challenges. Details: timeseries4health.github.io 🧵 (1/6)
Excited we have some papers accepted to ICML'25 in collaboration with some tremendous folks 🎉
Looking forward to Vancouver to discuss model editing for LLMs/VLMs and improving medical benchmarking!
Looking forward to Vancouver to discuss model editing for LLMs/VLMs and improving medical benchmarking!
May 11, 2025 at 12:34 PM
Excited we have some papers accepted to ICML'25 in collaboration with some tremendous folks 🎉
Looking forward to Vancouver to discuss model editing for LLMs/VLMs and improving medical benchmarking!
Looking forward to Vancouver to discuss model editing for LLMs/VLMs and improving medical benchmarking!
Happy to share our ICLR'25 paper to be presented by @snagaraj.bsky.social! It's the first method to capture how label noise can change over time in sequential classification tasks. Many implications, one being towards better models of labelers' behavior over time, even for non-time series tasks 🎉
🚨 Excited to announce a new paper accepted at #ICLR2025 in Singapore!
“Learning Under Temporal Label Noise”
We tackle a new challenge in time series ML: label noise that changes over time 🧵👇
arxiv.org/abs/2402.04398
“Learning Under Temporal Label Noise”
We tackle a new challenge in time series ML: label noise that changes over time 🧵👇
arxiv.org/abs/2402.04398
Learning under Temporal Label Noise
Many time series classification tasks, where labels vary over time, are affected by label noise that also varies over time. Such noise can cause label quality to improve, worsen, or periodically chang...
arxiv.org
April 13, 2025 at 11:52 PM
Happy to share our ICLR'25 paper to be presented by @snagaraj.bsky.social! It's the first method to capture how label noise can change over time in sequential classification tasks. Many implications, one being towards better models of labelers' behavior over time, even for non-time series tasks 🎉
Super excited to share our new work on keeping LLMs factually up-to-date for long periods of time 🎉
🧠 Keeping LLMs factually up to date is a common motivation for knowledge editing.
But what would it actually take to support this in practice at the scale and speed the real world demands?
We explore this question and really push the limits of lifelong knowledge editing in the wild.
👇
But what would it actually take to support this in practice at the scale and speed the real world demands?
We explore this question and really push the limits of lifelong knowledge editing in the wild.
👇
April 13, 2025 at 11:50 PM
Super excited to share our new work on keeping LLMs factually up-to-date for long periods of time 🎉