Diego Milone retweetledi
Diego Milone
635 posts
Diego Milone
@d1001
Investigador Principal CONICET | Profesor Titular UNL | @sinc_i | deep machine statistical learning + bioinformatics | https://t.co/OaPf7iy3AM
Santa Fe Katılım Temmuz 2009
108 Takip Edilen361 Takipçiler
Diego Milone retweetledi
Este miércoles 17hs estaremos contando un poco lo que hacemos 👇🏽
ANCEFN Argentina@AncefnA
📣 Este miércoles nos vemos en un nuevo Encuentro con la Academia❗ Temática: Ciencia en marcha: un encuentro con los jóvenes talentos premiados por la Academia 🗓️ Miércoles 29 de octubre, 17 hs. 📌 Conversación virtual en vivo: youtube.com/unsamoficial
Español
Diego Milone retweetledi
📢 ¡Tenemos novedades!
¡Ahora el sinc(i) también está en Instagram!🎉
Seguinos y conocé todo lo que hacemos.
👉 instagram.com/s.in.c_i/?igsh…
Español
Diego Milone retweetledi
El sinc(i) presente en FAccT 2025 en Atenas, Grecia.💻🧠
Español
Diego Milone retweetledi
⏰ New paper alert!
Our work on reliable WMH segmentation in brain MR is now published! We explore how maximum entropy regularizers can help to improve uncertainty estimates in WMH segmentation, specially under domain shift.
🔗 Link to the paper: authors.elsevier.com/a/1lN1Z2OYdBVVm
English
Diego Milone retweetledi
🧬 New Paper Alert! Can RNA structure prediction benefit from large language models? Our study benchmarks 6 state-of-the-art RNA-LLMs across diverse datasets to find out 👉 Our preprint: sinc.unl.edu.ar/publications/?…
👉 Paper & code: academic.oup.com/bib/article/26…
English
Diego Milone retweetledi
Just arrived at @FAccTConference in Athens!
@EstClaucich will be presenting our work on fairness of deep ensembles at 10h45 in the “Fairness metrics and tech approaches” track.
Paper —> facctconference.org/static/docs/fa…
Cc: @sarahookr @d1001 @RSEcheveste @liaa_icc @icc_uba_conicet
Cohere Labs@Cohere_Labs
We’re excited to share that our work “Fairness of Deep Ensembles” will be showcased at the @FAccTConference today in Athens, Greece. 🎉Congrats to all authors! @EstClaucich @sarahookr @d1001 @enzoferrante @RSEcheveste
English
Diego Milone retweetledi
Super excited to present a poster today at the #BCIMeeting2025, a work in which we use backward optimal transport for cross-subject domain adaptation in MI-BCIs to reduce calibration time with @vpeterson09, @d1001 and R. Spies. Great discussions and really insightful exchanges!
English
Diego Milone retweetledi
🚨New paper alert!
"Multi-view Hybrid Graph Convolutional Network for Volume-to-Mesh Reconstruction in Cardiovascular MRI" has been published in Medical Image Analysis!
This is the last paper coming from @ngaggion PhD thesis, congrats Nico!
📖 authors.elsevier.com/c/1lApM_UzlO2A…
English
Diego Milone retweetledi
I am so thrilled to announce that our latest publication is out! 🥳🥳
If you're interested in building coadaptive MI #BCI, check this out 👇
Towards subject-centered co-adaptive brain-computer interfaces based on backward optimal transport doi.org/10.1088/1741-2…
[1/6]
English
Diego Milone retweetledi
🎉 @EstClaucich's paper on Fairness of Deep Ensambles has been accepted to @FAccTConference! Joint work with @d1001 @enzoferrante and @sarahookr 💪
Cohere Labs@Cohere_Labs
Excited to share Fairness of Deep Ensembles has been accepted to @FAccTConference. 🔥 This collaboration explores how homogeneous ensembles can mitigate biases, benefiting under-performing subgroups. We also reveal that balanced datasets may not always be optimal for fairness.
English
Diego Milone retweetledi
New preprint out!
We study how differences in task difficulty for various demographic groups interacts with under-representation when mitigating biases via deep ensembles.
Collaboration between @sinc_i @liaa_icc and
@CohereForAI
Link: arxiv.org/pdf/2501.14551
+info👇
English
Diego Milone retweetledi
With @enzoferrante we have contributed a chapter on "Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications"
If you can't wait until Dec 1st 😉, you can have a first look at the prelim arXiv version of the chapter here 👇
arxiv.org/abs/2407.16953
Santa Fé, Argentina 🇦🇷 English
Diego Milone retweetledi
New Paper Alert 🚨
“gGN: Representing the Gene Ontology as Low-Rank Gaussian Distributions” an innovative approach to modeling knowledge graphs. Read here: authors.elsevier.com/a/1jw0f2OYd7iA8
English
Diego Milone retweetledi
Nuestros becarios del @sinc_i presentaron sus trabajos de deep learning para secuencias biológicas, pósters muy concurridos y además Sofia se llevó el premio a la mejor presentación oral! Felices 😁
Español
Diego Milone retweetledi
Retiro del @sinc_i 2024! Nos reímos, lloramos, pensamos, nos repensamos, crecimos, y nos cargamos de fuerzas para seguir 💪
Español
Diego Milone retweetledi
🤖 Encendiendo chispitas 💥
Hoy desde el @sinc_i llevamos la actividad "La Inteligencia Artificial y VOS tienen futuro" a la Escuela Primaria de la @UNLitoral .
Todo un éxito! Muchísima curiosidad y entusiasmo! (Volvimos con pilas recargadas para seguir 🤩)
Español
Diego Milone retweetledi
Diego Milone retweetledi
🧠🇦🇷 Un verdadero muestrario de la investigación en Neurociencias en los distintos rincones de la Argentina arranca mañana! 🤩
Español
Diego Milone retweetledi
🧬 El Nobel en fisiología y medicina fue por el descubrimiento de los microARNs, pequeñas moléculas que revolucionaron el entendimiento de la regulación génica. En el sinc(i) desde 2015 trabajamos en herramientas computacionales para poder identificarlas
sinc.unl.edu.ar/publications/?…
The Nobel Prize@NobelPrize
BREAKING NEWS The 2024 #NobelPrize in Physiology or Medicine has been awarded to Victor Ambros and Gary Ruvkun for the discovery of microRNA and its role in post-transcriptional gene regulation.
Español