Enzo Ferrante
@enzoferrante
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ML Fairness, Robustness, Comp Vis & MedImg 🇦🇷 🏳️🌈 || Researcher @icc_uba_conicet Ex: @imperialcollege, @inria, @UnivParisSaclay, @FulbrightPrgrm, @sinc_i
Buenos Aires, Argentina
Joined May 2010
We made it to the cover of Nature Machine Intelligence @NatMachIntell ! Congrats @rodbonazzola @affrangi and team! If you are interested in imaging genetics and how to discover new phenotype-genotype associations for anatomy, check it out: https://t.co/nqksOurSj6 👇
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📍Buenos Aires 🇦🇷| La semana pasada se realizó la 1ª Escuela de Primavera en Deep Learning en la @UBAonline, organizada por el @icc_uba_conicet y @Exactas_UBA. +250 participantes de 10 países de América Latina se reunieron para aprender e intercambiar sobre IA.
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Congrats to the finalists and winners of the poster session!
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We had participants from all over LATAM and a very packed program with an amazing line-up of speakers!
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Just finishing a packed and amazing week with our Deep Learning Spring School at University of Buenos Aires & CONICET! @icc_uba_conicet @liaa_icc
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👏Felicitaciones a @enzoferrante por recibir el Distinguished International Associate Award de la Royal Academy of Engineering de Inglaterra, que le permitirá fortalecer sus colaboraciones científicas con @imperialcollege.
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🌱🧬New preprint: What do LLMs know about Plant Molecular Biology? Take a look at MoBiPlant, our new benchmark to measure LLMs performance built by more than 100 plant scientists from 19 countries! Amazing collaboration! 🚀 More info in this thread 👇 https://t.co/xujvRjUFj0
Large language models are reshaping the way we do science, but how well do they actually understand plant molecular biology? ➡️We created MoBiPlant to answer this. 📝Preprint: https://t.co/EhQf4YofLw 💾Dataset: https://t.co/D1B5lBj0UR (Thread below)
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🪴 🤖 New preprint: What do LLMs know about Plant Molecular Biology? Take a look at MoBiPlant, our new benchmark to measure LLMs performance built by more than 100 plant scientist from 19 countries! More info in this thread 👇 https://t.co/DlRYZCX00x
Large language models are reshaping the way we do science, but how well do they actually understand plant molecular biology? ➡️We created MoBiPlant to answer this. 📝Preprint: https://t.co/EhQf4YofLw 💾Dataset: https://t.co/D1B5lBj0UR (Thread below)
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New preprint🚨 We propose to reframe bias mitigation as a continual learning problem to overcome the leveling-down effect, improving worst-group performance with minimal degradation in best-group accuracy! Link -> https://t.co/XGAmf5ce2F
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Es un enorme placer y disfrute estar en la ECI 38 (!) con colegas, amigos y muchos estudiantes. ¡Viva la educación pública! @Exactas_UBA @ComputacionUBA @enzoferrante @ngaggion @LatamBioimaging @aacorbat @liaa_icc @icc_uba_conicet
¡Las chicharras no paran! @flecumberry dicta el curso “Procesamiento de imágenes con aplicación a la biomedicina” 🇦🇷 #ECI2025 @UBAonline @ImaginaUdelar
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Have you submitted your KHIPUx application? ⚠️Only 3 days to go!😱 Don't miss out on this great opportunity! 🗓️Deadline: July 14 📎 More info at:
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This work was led by @FrancoMatzkin in collaboration with @agolarrazabal, @d1001 and @josedolz_ets , and it is the last publication from Franco's PhD thesis which he will be defending soon. Congrats Franco!
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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: https://t.co/78THSUwI7J
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Se viene la Escuela de Ciencias Informáticas de @Exactas_UBA ! Recomiendo en especial los cursos de modelos generativos en imágenes de @muse_pablo y el de procesamiento de imágenes con aplicación en biomedicina de @flecumberry !
🗓️Te recordamos que este viernes 4 de julio cierra la inscripción a los cursos #ECI2025 para estudiantes y doctorandos de @Exactas_UBA. 👇Más información disponible en: https://t.co/zSqguU6Nhm
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Desde mi grupo de investigación ( https://t.co/f2025h2sq5) junto con @enzoferrante (CONICET, Univ. Buenos Aires), organizamos un curso intensivo 21-24 julio de Deep Learning para Imagen Médica en UC3M Madrid Puerta de Toledo:
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⚠️ Deadline Extension for KHIPUx! 🗓️New deadline: July 14 📎 +info at: https://t.co/hf9KyBCQzC
KHIPU is more than a conference; it’s a vibrant community! With the spirit of collaboration at its core, we are proud to announce the launch of the second edition of the KHIPUx program, designed to expand this spirit across the heart of Latin America.
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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 —> https://t.co/JaZBFvw76h Cc: @sarahookr @d1001 @RSEcheveste @liaa_icc @icc_uba_conicet
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
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🎉 Nuevo paper publicación en ACL 🎉 Exploring the integration of Eye Movement Data on Word Embeddings Travi, F., Leclercq, G. A., Slezak, D. F., Bianchi, B., & Kamienkowski, J. E. https://t.co/97bd6J2ZY9
aclanthology.org
Fermín Travi, Gabriel Aimé Leclercq, Diego Fernandez Slezak, Bruno Bianchi, Juan E Kamienkowski. Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics. 2025.
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Don’t miss the opportunity to organize a KHIPUx event in your city!
KHIPU is more than a conference; it’s a vibrant community! With the spirit of collaboration at its core, we are proud to announce the launch of the second edition of the KHIPUx program, designed to expand this spirit across the heart of Latin America.
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Me quedo con este (triste) diagnóstico sobre la situación actual, que comparto:
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