Guy Moss
@gmoss13.bsky.social
PhD student at @mackelab.bsky.social - machine learning & geoscience.
Reposted by Guy Moss
Come and work with us!
We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg.
Be part of a great ML and Geo community and use ML to investigate fire and its impact on global vegetation🔥 🌱🌳
www.mackelab.org/jobs/
We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg.
Be part of a great ML and Geo community and use ML to investigate fire and its impact on global vegetation🔥 🌱🌳
www.mackelab.org/jobs/
March 30, 2026 at 12:29 PM
Come and work with us!
We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg.
Be part of a great ML and Geo community and use ML to investigate fire and its impact on global vegetation🔥 🌱🌳
www.mackelab.org/jobs/
We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg.
Be part of a great ML and Geo community and use ML to investigate fire and its impact on global vegetation🔥 🌱🌳
www.mackelab.org/jobs/
Reposted by Guy Moss
This is a great opportunity to work at the intersection of ML and Biogeoscience! Based within the outstanding research community of Tübingen.
Reach out if you are interested!
Reach out if you are interested!
Come and work with us!
We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg.
Be part of a great ML and Geo community and use ML to investigate fire and its impact on global vegetation🔥 🌱🌳
www.mackelab.org/jobs/
We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg.
Be part of a great ML and Geo community and use ML to investigate fire and its impact on global vegetation🔥 🌱🌳
www.mackelab.org/jobs/
March 31, 2026 at 9:12 AM
This is a great opportunity to work at the intersection of ML and Biogeoscience! Based within the outstanding research community of Tübingen.
Reach out if you are interested!
Reach out if you are interested!
Reposted by Guy Moss
@mackelab.bsky.social is at @cosynemeeting.bsky.social #cosyne2026 in Lisbon with two posters presented by PhD students from the lab.
Thread below on the projects 👇
Thread below on the projects 👇
March 11, 2026 at 1:33 PM
@mackelab.bsky.social is at @cosynemeeting.bsky.social #cosyne2026 in Lisbon with two posters presented by PhD students from the lab.
Thread below on the projects 👇
Thread below on the projects 👇
Reposted by Guy Moss
On my way from Munich to Grenoble 🚞 to co-lead a 3-day SBI tutorial + hackathon together with @danielged.bsky.social, organised by Pedro Rodriguez and @ugrenoblealpes.bsky.social.
Excited to meet researchers from across France, many bringing their own simulators 🚀
Excited to meet researchers from across France, many bringing their own simulators 🚀
January 20, 2026 at 7:31 PM
On my way from Munich to Grenoble 🚞 to co-lead a 3-day SBI tutorial + hackathon together with @danielged.bsky.social, organised by Pedro Rodriguez and @ugrenoblealpes.bsky.social.
Excited to meet researchers from across France, many bringing their own simulators 🚀
Excited to meet researchers from across France, many bringing their own simulators 🚀
Reposted by Guy Moss
1/ 🌀 New paper alert! We introduce Dingo-T1, a flexible transformer-based deep learning model for gravitational-wave (GW) data analysis. It adapts to different detector & frequency settings, improving inference efficiency and flexibility
🚀 #AI #MachineLearning #Physics #Astronomy #AcademicSky
🚀 #AI #MachineLearning #Physics #Astronomy #AcademicSky
December 3, 2025 at 5:21 PM
1/ 🌀 New paper alert! We introduce Dingo-T1, a flexible transformer-based deep learning model for gravitational-wave (GW) data analysis. It adapts to different detector & frequency settings, improving inference efficiency and flexibility
🚀 #AI #MachineLearning #Physics #Astronomy #AcademicSky
🚀 #AI #MachineLearning #Physics #Astronomy #AcademicSky
Reposted by Guy Moss
Finally got the job ad—looking for 2 PhD students to start spring next year:
www.gao-unit.com/join-us/
If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply!
I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮
www.gao-unit.com/join-us/
If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply!
I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮
December 3, 2025 at 9:37 AM
Finally got the job ad—looking for 2 PhD students to start spring next year:
www.gao-unit.com/join-us/
If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply!
I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮
www.gao-unit.com/join-us/
If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply!
I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮
Reposted by Guy Moss
I’m at NeurIPS in San Diego this week to present cool work on foundation models for SBI!
Most importantly, I’ll be around to meet people and discuss science. 👨🔬
Most importantly, I’ll be around to meet people and discuss science. 👨🔬
Second, come by to check out NPE-PFN: We leverage the power of tabular foundation models for training-free and simulation-efficient SBI. SBI has never been so effortless! By @vetterj.bsky.social, Manuel Gloeckler, @danielged.bsky.social, @jakhmack.bsky.social 4/11
December 1, 2025 at 4:50 PM
I’m at NeurIPS in San Diego this week to present cool work on foundation models for SBI!
Most importantly, I’ll be around to meet people and discuss science. 👨🔬
Most importantly, I’ll be around to meet people and discuss science. 👨🔬
Reposted by Guy Moss
Our group is at NeurIPS and EurIPS this year with four papers and one workshop poster. If you are either curious about SBI with autoML, with foundation models, or on function spaces or about differentiable simulators with Jaxley, have a look below 👇 1/11
December 1, 2025 at 4:16 PM
Our group is at NeurIPS and EurIPS this year with four papers and one workshop poster. If you are either curious about SBI with autoML, with foundation models, or on function spaces or about differentiable simulators with Jaxley, have a look below 👇 1/11
I’m super excited to present our new work in #Eurips2025 and #Neurips2025! We developed FNOPE: a new simulation-based inference (SBI) method which excels at inferring function-valued parameters!
Paper: openreview.net/forum?id=yB5...
Code: github.com/mackelab/fnope
(1/9)
Paper: openreview.net/forum?id=yB5...
Code: github.com/mackelab/fnope
(1/9)
FNOPE: Simulation-based inference on function spaces with Fourier...
Simulation-based inference (SBI) is an established approach for performing Bayesian inference on scientific simulators. SBI so far works best on low-dimensional parametric models. However, it is...
openreview.net
December 1, 2025 at 8:34 AM
I’m super excited to present our new work in #Eurips2025 and #Neurips2025! We developed FNOPE: a new simulation-based inference (SBI) method which excels at inferring function-valued parameters!
Paper: openreview.net/forum?id=yB5...
Code: github.com/mackelab/fnope
(1/9)
Paper: openreview.net/forum?id=yB5...
Code: github.com/mackelab/fnope
(1/9)
Reposted by Guy Moss
MackeLab has grown! 🎉 Warm welcome to 5(!) brilliant and fun new PhD students / research scientists who joined our lab in the past year — we can’t wait to do great science and already have good times together! 🤖🧠 Meet them in the thread 👇 1/7
November 28, 2025 at 10:26 AM
MackeLab has grown! 🎉 Warm welcome to 5(!) brilliant and fun new PhD students / research scientists who joined our lab in the past year — we can’t wait to do great science and already have good times together! 🤖🧠 Meet them in the thread 👇 1/7
Reposted by Guy Moss
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.
📄 Paper: arxiv.org/abs/2508.12939
📄 Paper: arxiv.org/abs/2508.12939
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
arxiv.org
November 21, 2025 at 3:08 PM
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.
📄 Paper: arxiv.org/abs/2508.12939
📄 Paper: arxiv.org/abs/2508.12939
Reposted by Guy Moss
🎉 sbi participated in GSoC 2025 through @numfocus.bsky.social and it was a great success: our two students contributed major new features and substantial internal improvements: 🧵 👇
October 17, 2025 at 1:30 PM
🎉 sbi participated in GSoC 2025 through @numfocus.bsky.social and it was a great success: our two students contributed major new features and substantial internal improvements: 🧵 👇
Reposted by Guy Moss
Congrats to Dr Michael Deistler @deismic.bsky.social, who defended his PhD!
Michael worked on "Machine Learning for Inference in Biophysical Neuroscience Simulations", focusing on simulation-based inference and differentiable simulation.
We wish him all the best for the next chapter! 👏🎓
Michael worked on "Machine Learning for Inference in Biophysical Neuroscience Simulations", focusing on simulation-based inference and differentiable simulation.
We wish him all the best for the next chapter! 👏🎓
October 2, 2025 at 11:28 AM
Congrats to Dr Michael Deistler @deismic.bsky.social, who defended his PhD!
Michael worked on "Machine Learning for Inference in Biophysical Neuroscience Simulations", focusing on simulation-based inference and differentiable simulation.
We wish him all the best for the next chapter! 👏🎓
Michael worked on "Machine Learning for Inference in Biophysical Neuroscience Simulations", focusing on simulation-based inference and differentiable simulation.
We wish him all the best for the next chapter! 👏🎓
Reposted by Guy Moss
The Macke lab is well-represented at the @bernsteinneuro.bsky.social conference in Frankfurt this year! We have lots of exciting new work to present with 7 posters (details👇) 1/9
September 30, 2025 at 2:06 PM
The Macke lab is well-represented at the @bernsteinneuro.bsky.social conference in Frankfurt this year! We have lots of exciting new work to present with 7 posters (details👇) 1/9
Reposted by Guy Moss
I've been waiting some years to make this joke and now it’s real:
I conned somebody into giving me a faculty job!
I’m starting as a W1 Tenure-Track Professor at Goethe University Frankfurt in a week (lol), in the Faculty of CS and Math
and I'm recruiting PhD students 🤗
I conned somebody into giving me a faculty job!
I’m starting as a W1 Tenure-Track Professor at Goethe University Frankfurt in a week (lol), in the Faculty of CS and Math
and I'm recruiting PhD students 🤗
a man wearing a white shirt and tie smiles in front of a window
ALT: a man wearing a white shirt and tie smiles in front of a window
media.tenor.com
September 23, 2025 at 1:00 PM
I've been waiting some years to make this joke and now it’s real:
I conned somebody into giving me a faculty job!
I’m starting as a W1 Tenure-Track Professor at Goethe University Frankfurt in a week (lol), in the Faculty of CS and Math
and I'm recruiting PhD students 🤗
I conned somebody into giving me a faculty job!
I’m starting as a W1 Tenure-Track Professor at Goethe University Frankfurt in a week (lol), in the Faculty of CS and Math
and I'm recruiting PhD students 🤗
Reposted by Guy Moss
From hackathon to release: sbi v0.25 is here! 🎉
What happens when dozens of SBI researchers and practitioners collaborate for a week? New inference methods, new documentation, lots of new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯
1/7 🧵
What happens when dozens of SBI researchers and practitioners collaborate for a week? New inference methods, new documentation, lots of new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯
1/7 🧵
September 9, 2025 at 3:00 PM
From hackathon to release: sbi v0.25 is here! 🎉
What happens when dozens of SBI researchers and practitioners collaborate for a week? New inference methods, new documentation, lots of new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯
1/7 🧵
What happens when dozens of SBI researchers and practitioners collaborate for a week? New inference methods, new documentation, lots of new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯
1/7 🧵
Reposted by Guy Moss
Looky Looky! 😍🥳👏
arxiv.org/abs/2508.12939
Super fun project, I ❤️ed coauthoring w/ @sbi-devs.bsky.social.
Great lead by @deismic.bsky.social & @janboelts.bsky.social. Contribs by many talented people @jakhmack.bsky.social. 🙏 to #BenjaminKurtMiller for the kickstart! @helmholtzai.bsky.social
arxiv.org/abs/2508.12939
Super fun project, I ❤️ed coauthoring w/ @sbi-devs.bsky.social.
Great lead by @deismic.bsky.social & @janboelts.bsky.social. Contribs by many talented people @jakhmack.bsky.social. 🙏 to #BenjaminKurtMiller for the kickstart! @helmholtzai.bsky.social
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
arxiv.org
August 19, 2025 at 7:32 AM
Looky Looky! 😍🥳👏
arxiv.org/abs/2508.12939
Super fun project, I ❤️ed coauthoring w/ @sbi-devs.bsky.social.
Great lead by @deismic.bsky.social & @janboelts.bsky.social. Contribs by many talented people @jakhmack.bsky.social. 🙏 to #BenjaminKurtMiller for the kickstart! @helmholtzai.bsky.social
arxiv.org/abs/2508.12939
Super fun project, I ❤️ed coauthoring w/ @sbi-devs.bsky.social.
Great lead by @deismic.bsky.social & @janboelts.bsky.social. Contribs by many talented people @jakhmack.bsky.social. 🙏 to #BenjaminKurtMiller for the kickstart! @helmholtzai.bsky.social
Reposted by Guy Moss
New preprint: SBI with foundation models!
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
July 23, 2025 at 2:28 PM
New preprint: SBI with foundation models!
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Reposted by Guy Moss
I have been genuinely amazed how well tabpfn works as a density estimator, and how helpful this is for SBI ... Great work by @vetterj.bsky.social, Manuel and @danielged.bsky.social!!
New preprint: SBI with foundation models!
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
July 23, 2025 at 2:37 PM
I have been genuinely amazed how well tabpfn works as a density estimator, and how helpful this is for SBI ... Great work by @vetterj.bsky.social, Manuel and @danielged.bsky.social!!
Reposted by Guy Moss
My first paper on simulation-based inference (SBI) as part of @mackelab.bsky.social!
Exciting work on adapting state-of-the-art foundation models for posterior estimation. Almost plug-and-play, and surprisingly effective.
Paper/code in thread below 🧵
Exciting work on adapting state-of-the-art foundation models for posterior estimation. Almost plug-and-play, and surprisingly effective.
Paper/code in thread below 🧵
New preprint: SBI with foundation models!
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
July 23, 2025 at 6:45 PM
My first paper on simulation-based inference (SBI) as part of @mackelab.bsky.social!
Exciting work on adapting state-of-the-art foundation models for posterior estimation. Almost plug-and-play, and surprisingly effective.
Paper/code in thread below 🧵
Exciting work on adapting state-of-the-art foundation models for posterior estimation. Almost plug-and-play, and surprisingly effective.
Paper/code in thread below 🧵
Reposted by Guy Moss
New paper in Geophysical Research Letters led by Vjeran Višnjević mapping out ice shelf areas which are maintained by local precipitation only doi.org/10.1029/2024...
Mapping the Composition of Antarctic Ice Shelves as a Metric for Their Susceptibility to Future Climate Change
We categorize Antarctic ice shelves into two parts: local meteoric ice and continental meteoric ice Buttressed ice shelves composed primarily of local meteoric ice are identified as being particu...
doi.org
June 23, 2025 at 9:21 AM
New paper in Geophysical Research Letters led by Vjeran Višnjević mapping out ice shelf areas which are maintained by local precipitation only doi.org/10.1029/2024...
Have I been to Antarctica? No. But my colleagues have, and we can learn a lot from the data they collected! Really happy to share that our work is now published!
Thrilled to share that our paper on using simulation-based inference for inferring ice accumulation and melting rates for Antarctic ice shelves is now published in Journal of Glaciology!
www.cambridge.org/core/journal...
www.cambridge.org/core/journal...
Simulation-based inference of surface accumulation and basal melt rates of an Antarctic ice shelf from isochronal layers | Journal of Glaciology | Cambridge Core
Simulation-based inference of surface accumulation and basal melt rates of an Antarctic ice shelf from isochronal layers - Volume 71
www.cambridge.org
June 11, 2025 at 11:56 AM
Have I been to Antarctica? No. But my colleagues have, and we can learn a lot from the data they collected! Really happy to share that our work is now published!
Reposted by Guy Moss
More great news from the SBI community! 🎉
Two projects have been accepted for Google Summer of Code under the NumFOCUS umbrella, bringing new methods and general improvements to sbi. Big thanks to @numfocus.bsky.social, GSoC and our future contributors!
Two projects have been accepted for Google Summer of Code under the NumFOCUS umbrella, bringing new methods and general improvements to sbi. Big thanks to @numfocus.bsky.social, GSoC and our future contributors!
May 20, 2025 at 10:50 AM
More great news from the SBI community! 🎉
Two projects have been accepted for Google Summer of Code under the NumFOCUS umbrella, bringing new methods and general improvements to sbi. Big thanks to @numfocus.bsky.social, GSoC and our future contributors!
Two projects have been accepted for Google Summer of Code under the NumFOCUS umbrella, bringing new methods and general improvements to sbi. Big thanks to @numfocus.bsky.social, GSoC and our future contributors!
Reposted by Guy Moss
Great news! Our March SBI hackathon in Tübingen was a huge success, with 40+ participants (30 onsite!). Expect significant updates soon: awesome new features & a revamped documentation you'll love! Huge thanks to our amazing SBI community! Release details coming soon. 🥁 🎉
May 12, 2025 at 2:29 PM
Great news! Our March SBI hackathon in Tübingen was a huge success, with 40+ participants (30 onsite!). Expect significant updates soon: awesome new features & a revamped documentation you'll love! Huge thanks to our amazing SBI community! Release details coming soon. 🥁 🎉
Reposted by Guy Moss
🎓Hiring now! 🧠 Join us at the exciting intersection of ML and Neuroscience! #AI4science
We’re looking for PhDs, Postdocs and Scientific Programmers that want to use deep learning to build, optimize and study mechanistic models of neural computations. Full details: www.mackelab.org/jobs/ 1/5
We’re looking for PhDs, Postdocs and Scientific Programmers that want to use deep learning to build, optimize and study mechanistic models of neural computations. Full details: www.mackelab.org/jobs/ 1/5
Jobs - mackelab
The MackeLab is a research group at the Excellence Cluster Machine Learning at Tübingen University!
www.mackelab.org
April 30, 2025 at 1:43 PM
🎓Hiring now! 🧠 Join us at the exciting intersection of ML and Neuroscience! #AI4science
We’re looking for PhDs, Postdocs and Scientific Programmers that want to use deep learning to build, optimize and study mechanistic models of neural computations. Full details: www.mackelab.org/jobs/ 1/5
We’re looking for PhDs, Postdocs and Scientific Programmers that want to use deep learning to build, optimize and study mechanistic models of neural computations. Full details: www.mackelab.org/jobs/ 1/5