AI for climate | Graph Neural Networks | Geometric Deep Learning | Neural Fields | Spatiotemporal Forecasting
mkofinas.github.io
The answer is simple: represent them as graphs, a.k.a. neural graphs!
Join our oral presentation and our poster at #ICLR2024 for more details.
Oral session 4B @ Halle A7 and poster #77 session 4 @ Halle B.
and Eliot Walt on AI for climate & foundation models for weather forecasting. Climate change is one of the most urgent challenges of our time, and I am excited to use my expertise in AI to tackle it. 🌎🌍🌏
and Eliot Walt on AI for climate & foundation models for weather forecasting. Climate change is one of the most urgent challenges of our time, and I am excited to use my expertise in AI to tackle it. 🌎🌍🌏
x.com/BorisAKnyazev/…
x.com/BorisAKnyazev/…
The answer is simple: represent them as graphs, a.k.a. neural graphs!
Join our oral presentation and our poster at #ICLR2024 for more details.
Oral session 4B @ Halle A7 and poster #77 session 4 @ Halle B.
The answer is simple: represent them as graphs, a.k.a. neural graphs!
Join our oral presentation and our poster at #ICLR2024 for more details.
Oral session 4B @ Halle A7 and poster #77 session 4 @ Halle B.
🧪Our #ICLR2024 oral on "Graph Neural Networks for Learning Equivariant Representations of Neural Networks" answers this question!
📜:💻:🧵 [1/9
github.com/mkofinas/neura… arxiv.org/abs/2403.12143
🧪Our #ICLR2024 oral on "Graph Neural Networks for Learning Equivariant Representations of Neural Networks" answers this question!
📜:💻:🧵 [1/9
github.com/mkofinas/neura… arxiv.org/abs/2403.12143
Paper details and source code will follow soon.
Paper details and source code will follow soon.
Join us at poster session 3 on Wednesday morning, poster #619.
Paper:Source code:1/8] 🧵
github.com/mkofinas/aether arxiv.org/abs/2310.20679
Join us at poster session 3 on Wednesday morning, poster #619.
Paper:Source code:1/8] 🧵
github.com/mkofinas/aether arxiv.org/abs/2310.20679
Ping me if you want to grab a coffee and chat about graph networks, geometric deep learning, and neural fields.
Ping me if you want to grab a coffee and chat about graph networks, geometric deep learning, and neural fields.
Wonderful collaboration with @erikjbekkers, @nsn86, and @egavves.
Details & source code coming soon!
Wonderful collaboration with @erikjbekkers, @nsn86, and @egavves.
Details & source code coming soon!
We propose representing neural networks as computation graphs, enabling the use of standard graph neural networks to preserve permutation symmetries.
Join our poster @TAGinDS in #ICML2023!
We propose representing neural networks as computation graphs, enabling the use of standard graph neural networks to preserve permutation symmetries.
Join our poster @TAGinDS in #ICML2023!
Joint work with Yongtuo Liu, @saramagliacane and @egavves.
Arxiv:Github:
github.com/yongtuoliu/Gra… arxiv.org/abs/2306.00370
Joint work with Yongtuo Liu, @saramagliacane and @egavves.
Arxiv:Github:
github.com/yongtuoliu/Gra… arxiv.org/abs/2306.00370
x.com/hyunjik11/stat…
x.com/hyunjik11/stat…
x.com/HannesStaerk/s…
x.com/HannesStaerk/s…
x.com/MiltosKofinas/… github.com/mkofinas/locs
Paper:Source code:1/6
github.com/mkofinas/locs arxiv.org/abs/2110.14961
x.com/MiltosKofinas/… github.com/mkofinas/locs
Want to learn more? Visit us today at #NeurIPS2021 Poster Session 6, at 5:30 pm CET.
Poster:
x.com/MiltosKofinas/… neurips.cc/virtual/2021/p…
Paper:Source code:1/6
github.com/mkofinas/locs arxiv.org/abs/2110.14961
Want to learn more? Visit us today at #NeurIPS2021 Poster Session 6, at 5:30 pm CET.
Poster:
x.com/MiltosKofinas/… neurips.cc/virtual/2021/p…
Paper:Source code:1/6
github.com/mkofinas/locs arxiv.org/abs/2110.14961
Paper:Source code:1/6
github.com/mkofinas/locs arxiv.org/abs/2110.14961