Jeremias Sulam
@jsulam.bsky.social
Assistant Prof. @ JHU 🇦🇷🇺🇸 Mathematics of Data & Biomedical Data Science
jsulam.github.io
jsulam.github.io
Deadline for CPAL coming up on Dec 5! Submit your best work on Parsimony and Learning and come join us in Tübingen in March!
cpal.cc
cpal.cc
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Conference on Parsimony and Learning (CPAL) - Addressing the low-dimensional structures in high-dimensional data that prevail in machine learning, signal processing, optimization, and beyond.
cpal.cc
November 19, 2025 at 2:18 PM
Deadline for CPAL coming up on Dec 5! Submit your best work on Parsimony and Learning and come join us in Tübingen in March!
cpal.cc
cpal.cc
The Biomedical Engineering Department at
@JohnsHopkins
is hiring! Do you work on data science and machine learning for biomedical problems? Consider applying - deadline for full consideration *Dec 5t*
www.bme.jhu.edu/careers-indu...
@JohnsHopkins
is hiring! Do you work on data science and machine learning for biomedical problems? Consider applying - deadline for full consideration *Dec 5t*
www.bme.jhu.edu/careers-indu...
Join Hopkins BME - Johns Hopkins Biomedical Engineering
Hopkins BME is not only a great place to learn, it’s also a great place to work. Browse the listing of postdoctoral, research, and faculty openings.
www.bme.jhu.edu
November 18, 2025 at 11:21 AM
The Biomedical Engineering Department at
@JohnsHopkins
is hiring! Do you work on data science and machine learning for biomedical problems? Consider applying - deadline for full consideration *Dec 5t*
www.bme.jhu.edu/careers-indu...
@JohnsHopkins
is hiring! Do you work on data science and machine learning for biomedical problems? Consider applying - deadline for full consideration *Dec 5t*
www.bme.jhu.edu/careers-indu...
Check this out 📢 Score-based diffusion models are powerful—but slow to sample. Could there be something better? Drop the scores, use proximals instead!
We present Proximal Diffusion Models, providing a faster alternative both in theory* and practice. Here’s how it works 🧵(1/n)
We present Proximal Diffusion Models, providing a faster alternative both in theory* and practice. Here’s how it works 🧵(1/n)
July 22, 2025 at 7:25 PM
Check this out 📢 Score-based diffusion models are powerful—but slow to sample. Could there be something better? Drop the scores, use proximals instead!
We present Proximal Diffusion Models, providing a faster alternative both in theory* and practice. Here’s how it works 🧵(1/n)
We present Proximal Diffusion Models, providing a faster alternative both in theory* and practice. Here’s how it works 🧵(1/n)
Awesome to see our cover in @cp-patterns.bsky.social finally out! And kudos go to Zhenzhen Wang for her massive work on biomarker discovery for breast cancer
www.cell.com/patterns/ful...
www.cell.com/patterns/ful...
March 14, 2025 at 4:09 PM
Awesome to see our cover in @cp-patterns.bsky.social finally out! And kudos go to Zhenzhen Wang for her massive work on biomarker discovery for breast cancer
www.cell.com/patterns/ful...
www.cell.com/patterns/ful...
Today, on #WomenInScience day, this paper on biomarker discovery for breast cancer, by my amazing student Zhenzhen, has just appeared in @cp-patterns.bsky.social
🎉 Her work shows how to construct fully interpretable biomarkers employing bi-level graph learning! @jhu.edu @hopkinsdsai.bsky.social
🎉 Her work shows how to construct fully interpretable biomarkers employing bi-level graph learning! @jhu.edu @hopkinsdsai.bsky.social
February 12, 2025 at 2:30 AM
Today, on #WomenInScience day, this paper on biomarker discovery for breast cancer, by my amazing student Zhenzhen, has just appeared in @cp-patterns.bsky.social
🎉 Her work shows how to construct fully interpretable biomarkers employing bi-level graph learning! @jhu.edu @hopkinsdsai.bsky.social
🎉 Her work shows how to construct fully interpretable biomarkers employing bi-level graph learning! @jhu.edu @hopkinsdsai.bsky.social
Nice write-up by @JHUCompSci about @JacopoTeneggi's work. Puch-line: interpretability of opaque ML models can be posed as hypothesis tests, for which online (efficient) testing procedures can be derived! www.cs.jhu.edu/news/wanna-b...
Wanna bet? Testing conceptual importance for more explainable AI
Johns Hopkins researchers used betting strategies to help clarify AI models’ decision-making processes.
www.cs.jhu.edu
December 13, 2024 at 5:47 PM
Nice write-up by @JHUCompSci about @JacopoTeneggi's work. Puch-line: interpretability of opaque ML models can be posed as hypothesis tests, for which online (efficient) testing procedures can be derived! www.cs.jhu.edu/news/wanna-b...
📣 What should *ML explanations* convey, and how does one report these precisely and rigorously? @neuripsconf.bsky.social
come check
Jacopo Teneggi's work on Testing for Explanations via betting this afternoon! I *bet* you'll like it :) openreview.net/pdf?id=A0HSm... @hopkinsdsai.bsky.social
come check
Jacopo Teneggi's work on Testing for Explanations via betting this afternoon! I *bet* you'll like it :) openreview.net/pdf?id=A0HSm... @hopkinsdsai.bsky.social
December 11, 2024 at 6:12 PM
📣 What should *ML explanations* convey, and how does one report these precisely and rigorously? @neuripsconf.bsky.social
come check
Jacopo Teneggi's work on Testing for Explanations via betting this afternoon! I *bet* you'll like it :) openreview.net/pdf?id=A0HSm... @hopkinsdsai.bsky.social
come check
Jacopo Teneggi's work on Testing for Explanations via betting this afternoon! I *bet* you'll like it :) openreview.net/pdf?id=A0HSm... @hopkinsdsai.bsky.social
Reposted by Jeremias Sulam
NeurIPS paper: Excited for our work (with Iuliia Dmitrieva+Sergey Babkin) on
"realSEUDO for real-time calcium imaging analysis"
arxiv.org/abs/2405.15701
to be presented tomorrow (Thu 4:30-7:30PM). realSEUDO is a fully on-line method for cell detection and activity estimation that runs at >30Hz.
"realSEUDO for real-time calcium imaging analysis"
arxiv.org/abs/2405.15701
to be presented tomorrow (Thu 4:30-7:30PM). realSEUDO is a fully on-line method for cell detection and activity estimation that runs at >30Hz.
realSEUDO for real-time calcium imaging analysis
Closed-loop neuroscience experimentation, where recorded neural activity is used to modify the experiment on-the-fly, is critical for deducing causal connections and optimizing experimental time. A cr...
arxiv.org
December 11, 2024 at 2:23 PM
NeurIPS paper: Excited for our work (with Iuliia Dmitrieva+Sergey Babkin) on
"realSEUDO for real-time calcium imaging analysis"
arxiv.org/abs/2405.15701
to be presented tomorrow (Thu 4:30-7:30PM). realSEUDO is a fully on-line method for cell detection and activity estimation that runs at >30Hz.
"realSEUDO for real-time calcium imaging analysis"
arxiv.org/abs/2405.15701
to be presented tomorrow (Thu 4:30-7:30PM). realSEUDO is a fully on-line method for cell detection and activity estimation that runs at >30Hz.