Diego Milone (@d1001) header
Diego Milone (@d1001) profile picture

Diego Milone

@d1001

Investigador Principal CONICET | Profesor Titular UNL | @sinc_i | deep machine statistical learning + bioinformatics | https://xitter.gq/t.co/OaPf7iy3AM

 Santa Fe
sinc.unl.edu.ar/staff/diego-milone/
Joined July 2009
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Photo by Diego Milone (@d1001)Photo by Diego Milone (@d1001)Photo by Diego Milone (@d1001)Photo by Diego Milone (@d1001)Photo by Diego Milone (@d1001)Photo by Diego Milone (@d1001)Photo by Diego Milone (@d1001)Photo by Diego Milone (@d1001)Photo by Diego Milone (@d1001)
Diego Milone retweeted
Leandro Bugnon (@lbugnon) profile picture
Leandro Bugnon@lbugnon17 Nov 2025
Un honor haber recibido el premio estímulo de la Academia Nacional de Ciencias Exactas, Físicas y Naturales @AncefnA por el área de Ciencias de la Ingeniería. Es un reconocimiento a todo el trabajo que hacemos en el @sinc_i , en particular en el cruce de IA y bioinformática.
Image from Leandro Bugnon (@lbugnon)
Image from Leandro Bugnon (@lbugnon)
Image from Leandro Bugnon (@lbugnon)
Image from Leandro Bugnon (@lbugnon)
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Diego Milone retweeted
Leandro Bugnon (@lbugnon) profile picture
Leandro Bugnon@lbugnon27 Oct 2025
Este miércoles 17hs estaremos contando un poco lo que hacemos 👇🏽
ANCEFN Argentina (@AncefnA) profile pictureANCEFN Argentina@AncefnA27 Oct 2025
📣 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
Image from ANCEFN Argentina (@AncefnA)
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📢 ¡Tenemos novedades! ¡Ahora el sinc(i) también está en Instagram!🎉 Seguinos y conocé todo lo que hacemos. 👉 instagram.com/s.in.c_i/?igsh…
Image from Instituto sinc(i) - UNL/CONICET (@sinc_i)
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El sinc(i) presente en FAccT 2025 en Atenas, Grecia.💻🧠
Image from Instituto sinc(i) - UNL/CONICET (@sinc_i)
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⏰ 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/1lN1Z…
Image from Enzo Ferrante (@enzoferrante)
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🧬 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…
Image from Instituto sinc(i) - UNL/CONICET (@sinc_i)
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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/d… Cc: @sarahookr @d1001 @RSEcheveste @liaa_icc @icc_uba_conicet
Image from Enzo Ferrante (@enzoferrante)
Cohere Labs (@Cohere_Labs) profile pictureCohere Labs
@Cohere_Labs23 Jun 2025
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
Image from Cohere Labs (@Cohere_Labs)
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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!
Image from Catalina Galván (@CataMaGalvan)
Image from Catalina Galván (@CataMaGalvan)
Image from Catalina Galván (@CataMaGalvan)
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🚨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…
Image from Enzo Ferrante (@enzoferrante)
Image from Enzo Ferrante (@enzoferrante)
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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/10.1088/1741-2552/ad… [1/6]
Towards subject-centered co-adaptive brain–computer interfaces based on backward optimal transport

Towards subject-centered co-adaptive brain–computer interfaces based on backward optimal transport

Towards subject-centered co-adaptive brain–computer interfaces based on backward optimal transport, Peterson, Victoria, Spagnolo, Valeria, Galván, Catalina M, Nieto, Nicolás, Spies, Rubén D, Milone,...

iopscience.iop.org
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🎉 @EstClaucich's paper on Fairness of Deep Ensambles has been accepted to @FAccTConference! Joint work with @d1001 @enzoferrante and @sarahookr 💪
Cohere Labs (@Cohere_Labs) profile pictureCohere Labs
@Cohere_Labs14 Apr 2025
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.
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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👇
Image from Enzo Ferrante (@enzoferrante)
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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 – at Santa Fé, Argentina
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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/1jw0f…
Image from Instituto sinc(i) - UNL/CONICET (@sinc_i)
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Diego Milone retweeted
Leandro Bugnon (@lbugnon) profile picture
Leandro Bugnon@lbugnon9 Nov 2024
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 😁
Image from Leandro Bugnon (@lbugnon)
Image from Leandro Bugnon (@lbugnon)
Image from Leandro Bugnon (@lbugnon)
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Retiro del @sinc_i 2024! Nos reímos, lloramos, pensamos, nos repensamos, crecimos, y nos cargamos de fuerzas para seguir 💪
Image from Rodrigo Echeveste (@RSEcheveste)
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🤖 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 🤩)
Image from Rodrigo Echeveste (@RSEcheveste)
Image from Rodrigo Echeveste (@RSEcheveste)
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With @TheBCIGuy we are serious #BCI professors. No, we are not 🤣 – at Santa Fé, Argentina
Image from Victoria Peterson (@vpeterson09)
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🧠🇦🇷 Un verdadero muestrario de la investigación en Neurociencias en los distintos rincones de la Argentina arranca mañana! 🤩
Image from Rodrigo Echeveste (@RSEcheveste)
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🧬 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) profile pictureThe Nobel Prize
@NobelPrize7 Oct 2024
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.
Image from The Nobel Prize (@NobelPrize)
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