Francisco Mena
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fmenat.bsky.social
Francisco Mena
@fmenat.bsky.social
Researcher @gfz.bsky.social & PhD candidate @rptu.bsky.social 🇩🇪
> MSc @UTFSM 🇨🇱 | ex. Researcher @dfki.bsky.social 🇩🇪 & visitor @Inria 🇫🇷

Enjoying research in AI & ML 🤖 | Now, into #AI4EO 🛰️
Pinned
It is possible to reduce the number of experiments when searching for the best combination of encoder architecture and fusion strategy for crop classification 🌱🚜?

Spoiler alert: In our recent (open access) paper 📖, we show that it can!

www.sciencedirect.com/science/arti...
In the search for optimal multi-view learning models for crop classification with global remote sensing data
Studying and analyzing cropland is a difficult task due to its dynamic and heterogeneous growth behavior. Usually, diverse data sources can be collect…
www.sciencedirect.com
Reposted by Francisco Mena
We asked 3,785 PhD students across 107 countries about their experiences. Where do you think the happiest doctoral candidates were?

go.nature.com/43usVmf
Are these the happiest PhD students in the world?
Nature - Brazil, Australia and Italy have the highest satisfaction scores in Nature’s global 2025 PhD survey — but are these nations really the best places to do a doctorate?
go.nature.com
October 26, 2025 at 3:51 PM
Reposted by Francisco Mena
🌍 Excited to announce our Workshop on AI for Climate & Conservation (AICC) at #EurIPS2025 in Copenhagen! 🎉

📢 Call for Participation: sites.google.com/g.harvard.ed...

Confirmed speakers from Mistral AI, DeepMind, ETH Zurich, LSCE & more.

Looking forward to meeting and discussing in Copenhagen!
September 19, 2025 at 10:37 AM
Reposted by Francisco Mena
Working on representation learning for Earth Observation?
Come join the discussion at the EurIPS workshop "REO: Advances in Representation Learning for Earth Observation"

Call for papers deadline: October 15, AoE
Workshop site: sites.google.com/view/reoeurips

@euripsconf.bsky.social @esa.int
October 9, 2025 at 12:32 PM
Always happy to receive those accepted paper email 😃
September 24, 2025 at 6:26 AM
Reposted by Francisco Mena
It is possible to reduce the number of experiments when searching for the best combination of encoder architecture and fusion strategy for crop classification 🌱🚜?

Spoiler alert: In our recent (open access) paper 📖, we show that it can!

www.sciencedirect.com/science/arti...
In the search for optimal multi-view learning models for crop classification with global remote sensing data
Studying and analyzing cropland is a difficult task due to its dynamic and heterogeneous growth behavior. Usually, diverse data sources can be collect…
www.sciencedirect.com
September 11, 2025 at 2:04 PM
Reposted by Francisco Mena
We are delighted to announce the #EurIPS 2025 Workshops 🎉: eurips.cc/workshops/

We received 52 proposals, which were single-blind reviewed by more than 35 expert reviewers, leading to 18 accepted workshops (acceptance rate 34.6%).
Workshops - A NeurIPS-endorsed conference in Europe
A NeurIPS-endorsed conference in Europe held in Copenhagen, Denmark
eurips.cc
September 12, 2025 at 10:53 AM
Reposted by Francisco Mena
We are looking for an NLP postdoc/engineer to work on adding language capabilities to our Earth observation sensor-agnostic models (Atomizer, to be presented at BMVC25).

Details here: jobs.inria.fr/public/class...

Atomizer: arxiv.org/pdf/2506.13542
GEO-ReSeT project: anr.fr/Projet-ANR-2...
September 8, 2025 at 12:30 PM
Reposted by Francisco Mena
Did you know that mutual distillation can be used to make deep learning models robust to missing sensor data?
We present this in our recent paper from a collaboration between @dfki.bsky.social and Inria (evergreen team). Available at @ieeeaccess.bsky.social 🔓

ieeexplore.ieee.org/document/10994…
May 13, 2025 at 11:37 AM
It is possible to reduce the number of experiments when searching for the best combination of encoder architecture and fusion strategy for crop classification 🌱🚜?

Spoiler alert: In our recent (open access) paper 📖, we show that it can!

www.sciencedirect.com/science/arti...
In the search for optimal multi-view learning models for crop classification with global remote sensing data
Studying and analyzing cropland is a difficult task due to its dynamic and heterogeneous growth behavior. Usually, diverse data sources can be collect…
www.sciencedirect.com
September 11, 2025 at 2:04 PM
Reposted by Francisco Mena
🏞️ Today is @unep.org #WorldLakeDay!

Global, long-term satellite records developed by the ESA Climate Change Initiative shed light on lakes contribution to the hydrological, energy and carbon cycles and their response to climate change.

Check out the data set visualisations here: t1p.de/mvl0a
August 27, 2025 at 2:51 PM
Reposted by Francisco Mena
📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
August 12, 2025 at 11:46 AM
Reposted by Francisco Mena
Also, don't hesitate to visit our CCS in Probabilistic Machine Learning for Earth Observation (TU2.M1)!
⏲️ Tuesday, 5 August, 10:30 - 11:45
August 1, 2025 at 2:31 PM
This coming week will be a thrilling and enriching experience at IGARSS 2025. I'll be presenting two works in multi-modal/source learning focused on missing data sources.

Let's catch up if you are around!

#IGARSS #IEEE #GRSS #AI4EO #EO #AI
August 1, 2025 at 2:31 PM
Reposted by Francisco Mena
During the last couple of years, we have read a lot of papers on explainability and often felt that something was fundamentally missing🤔

This led us to write a position paper (accepted at #ICML2025) that attempts to identify the problem and to propose a solution.

arxiv.org/abs/2402.02870
👇🧵
July 10, 2025 at 5:58 PM
Reposted by Francisco Mena
Academic "Deadlines"
July 3, 2025 at 8:39 PM
Did you know that mutual distillation can be used to make deep learning models robust to missing sensor data?
We present this in our recent paper from a collaboration between @dfki.bsky.social and Inria (evergreen team). Available at @ieeeaccess.bsky.social 🔓

ieeexplore.ieee.org/document/10994…
May 13, 2025 at 11:37 AM
Reposted by Francisco Mena
#CVPR2025 Sat June 14 (PM) ✨ Highlight
🛰️ AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
@gastruc.bsky.social @nicaogr.bsky.social @loicland.bsky.social
📄 pdf: arxiv.org/abs/2412.14123
🌐 webpage: gastruc.github.io/anysat
April 30, 2025 at 1:04 PM
Reposted by Francisco Mena
ABSTRACT DEADLINE EXTENDED! Submit your talk or poster proposal for the 5th Helmholtz Imaging Conference by May 8. Join us June 25–27 in Potsdam & connect with the imaging community!

Don’t miss it! 👉 bit.ly/HIConf25

#HIConference25

@www.helmholtz.de @dkfz.bsky.social @mdc-berlin.bsky.social
April 30, 2025 at 7:13 AM
Reposted by Francisco Mena
The Research Cycle
April 29, 2025 at 7:51 PM
Reposted by Francisco Mena
How will your multi-view model perform if data is missing during deployment?
Usually, this translates into a considerable decline in accuracy.

However, simpler approaches in model design can make it robust to missing data. We address this in our recent paper in the Neurocomputing journal.
April 11, 2025 at 7:21 AM
Reposted by Francisco Mena
🔐 ✏️ Don't miss attending the ELLIS Summer School with @cispa.de & ELSA - European Lighthouse on Secure & Safe AI in Saarbrücken 🇩🇪 this August. Applications are open!

🔗 More details: elsa-ai.eu/save-the-dat...

#ELLISPhD
CISPA ELLIS Summer School 2025 – ELSA
elsa-ai.eu
April 15, 2025 at 1:25 PM
Reposted by Francisco Mena
Our recent work, validated with heterogenous real-world data from the Earth observation domain, can be accessed (open-access 🔓) at the Neurocomputing journal

www.sciencedirect.com/science/arti...
Missing data as augmentation in the Earth Observation domain: A multi-view learning approach
Multi-view learning (MVL) leverages multiple sources or views of data to enhance machine learning model performance and robustness. This approach has …
www.sciencedirect.com
April 11, 2025 at 7:21 AM
How will your multi-view model perform if data is missing during deployment?
Usually, this translates into a considerable decline in accuracy.

However, simpler approaches in model design can make it robust to missing data. We address this in our recent paper in the Neurocomputing journal.
April 11, 2025 at 7:21 AM
Reposted by Francisco Mena
#IJCAI2025 🚨 Deadline Extension! There's still time to submit your application for the IJCAI 2025 Doctoral Consortium! 🗓️ New deadline: 7 April 2025 #PhD ✈️Students from #USA institutions are eligible for #NSF-funded travel support: 2025.ijcai.org/call-for-ijc...

#PhD #Academia #AI
March 29, 2025 at 6:54 AM
Reposted by Francisco Mena
The new newsletter, with future deadlines and event is out!
mailchi.mp/f4662e4d0c6c...
IAPR TC7 Newsletter #19
mailchi.mp
March 25, 2025 at 9:02 AM