Pedro Bruel
@pedrobruel.bsky.social
Senior Research Scientist at Hewlett Packard Labs. Statistical modeling, design of experiments, bayesian optimization, design space exploration, applied to High Performance Computing
Reposted by Pedro Bruel
Excited to report that this paper has been accepted at Royal Society Open Science. Updated version coming soon!
New preprint from @tobyhandfield.bsky.social and me!
We analyze authorship order norms from two perspectives: (1) why do disciplines have different norms and (2) do those different norms affect what kinds of collaborations take place.
arxiv.org/abs/2507.07364
We analyze authorship order norms from two perspectives: (1) why do disciplines have different norms and (2) do those different norms affect what kinds of collaborations take place.
arxiv.org/abs/2507.07364
The Evolution of Scientific Credit: When Authorship Norms Impede Collaboration
Scientific authorship norms vary dramatically across disciplines, from contribution-sensitive systems where first author is the greatest contributor and subsequent author order reflects relative input...
arxiv.org
November 18, 2025 at 3:27 PM
Excited to report that this paper has been accepted at Royal Society Open Science. Updated version coming soon!
Reposted by Pedro Bruel
The "reproducibility crisis" in science constantly makes headlines. Repro efforts are often limited. What if you could assess reproducibility of an entire field?
That's what @brunolemaitre.bsky.social et al. have done. Fly immunity is highly replicable & offers lessons for #metascience
A 🧵 1/n
That's what @brunolemaitre.bsky.social et al. have done. Fly immunity is highly replicable & offers lessons for #metascience
A 🧵 1/n
July 10, 2025 at 8:23 AM
The "reproducibility crisis" in science constantly makes headlines. Repro efforts are often limited. What if you could assess reproducibility of an entire field?
That's what @brunolemaitre.bsky.social et al. have done. Fly immunity is highly replicable & offers lessons for #metascience
A 🧵 1/n
That's what @brunolemaitre.bsky.social et al. have done. Fly immunity is highly replicable & offers lessons for #metascience
A 🧵 1/n
Reposted by Pedro Bruel
Hey #StatsSky, what are you favorite papers to cite when you need to justify something that is obvious (I once had a reviewer ask we justify the use of logistic regression on a binary outcome)
or when you need to push-back on silly reviewer requests (e.g., asking for p-values in table 1)?
or when you need to push-back on silly reviewer requests (e.g., asking for p-values in table 1)?
January 6, 2025 at 8:15 AM
Hey #StatsSky, what are you favorite papers to cite when you need to justify something that is obvious (I once had a reviewer ask we justify the use of logistic regression on a binary outcome)
or when you need to push-back on silly reviewer requests (e.g., asking for p-values in table 1)?
or when you need to push-back on silly reviewer requests (e.g., asking for p-values in table 1)?
Reposted by Pedro Bruel
THREAD
This Is The Story Of The The Pernicious Rise of AI-Generated Papers and their Online Impact
An Incomplete History Told In The Voice of Documentarian Adam Curtis
1/31
This Is The Story Of The The Pernicious Rise of AI-Generated Papers and their Online Impact
An Incomplete History Told In The Voice of Documentarian Adam Curtis
1/31
December 19, 2024 at 9:10 PM
THREAD
This Is The Story Of The The Pernicious Rise of AI-Generated Papers and their Online Impact
An Incomplete History Told In The Voice of Documentarian Adam Curtis
1/31
This Is The Story Of The The Pernicious Rise of AI-Generated Papers and their Online Impact
An Incomplete History Told In The Voice of Documentarian Adam Curtis
1/31
Reposted by Pedro Bruel
Lot's of neat tricks here 👏
Can I tell you about the gospel of our lord and saviour `theme_set()`? github.com/teunbrand/gg...
GitHub - teunbrand/ggplot_tricks: Here, I collect some tricks I've learned about the {ggplot2} R package
Here, I collect some tricks I've learned about the {ggplot2} R package - teunbrand/ggplot_tricks
github.com
December 5, 2024 at 2:05 AM
Lot's of neat tricks here 👏
Reposted by Pedro Bruel
I am very excited to share our new Neurips 2024 paper + package, Treeffuser! 🌳 We combine gradient-boosted trees with diffusion models for fast, flexible probabilistic predictions and well-calibrated uncertainty.
paper: arxiv.org/abs/2406.07658
repo: github.com/blei-lab/tre...
🧵(1/8)
paper: arxiv.org/abs/2406.07658
repo: github.com/blei-lab/tre...
🧵(1/8)
December 2, 2024 at 9:48 PM
I am very excited to share our new Neurips 2024 paper + package, Treeffuser! 🌳 We combine gradient-boosted trees with diffusion models for fast, flexible probabilistic predictions and well-calibrated uncertainty.
paper: arxiv.org/abs/2406.07658
repo: github.com/blei-lab/tre...
🧵(1/8)
paper: arxiv.org/abs/2406.07658
repo: github.com/blei-lab/tre...
🧵(1/8)
Reposted by Pedro Bruel
Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? 🧪🌌
Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology.
🐙: github.com/PolymathicAI...
📜: openreview.net/pdf?id=00Sx5...
Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology.
🐙: github.com/PolymathicAI...
📜: openreview.net/pdf?id=00Sx5...
December 2, 2024 at 4:08 PM
Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? 🧪🌌
Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology.
🐙: github.com/PolymathicAI...
📜: openreview.net/pdf?id=00Sx5...
Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology.
🐙: github.com/PolymathicAI...
📜: openreview.net/pdf?id=00Sx5...
Lovely little guy munching on sunflower seeds at my patio
November 25, 2024 at 12:39 AM
Lovely little guy munching on sunflower seeds at my patio