Very happy to present our work on a principled robustness evaluation of graph transformers at #ICLR2026! You can talk to us at tomorrow's poster session from 10:30 am to 1 pm in Pavilion 3 - #816. Joint work with Philipp Foth, @geisler_si, @SchwinnLeo, and @guennemann.
Are LLM outputs just language?
We often don’t know what the answer to a question will be - but we do know its structure. Numbers, lists, sets, ...
Our framework models outputs in their underlying structure for better answers + uncertainty.
w/ @dfuchsgruber@guennemann [1/4]🧵
Are LLM outputs just language?
We often don’t know what the answer to a question will be - but we do know its structure. Numbers, lists, sets, ...
Our framework models outputs in their underlying structure for better answers + uncertainty.
w/ @dfuchsgruber@guennemann [1/4]🧵
Excited to announce our #ICLR2025 spotlight work deriving the first exact certificates for neural networks against label poisoning 🎉. Joint work w/ @maha81193, @guennemann & Debarghya. For more details check out the thread below👇 or check out our paper https://t.co/MPX1EqDCPG.
Happy to share that our paper "Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space" got accepted to #ICLR2025, and we will be presenting it this week in Singapore!
Joint work with @n_gao96, @TomWollschlager, @j_m_sommer, and @guennemann.
🧵 1/
I am truly excited to share our latest work with @MScherbela, @GrohsPhilipp, and @guennemann on "Accurate Ab-initio Neural-network Solutions to
Large-Scale Electronic Structure Problems"!
https://t.co/By8CetKwHU
The paper of my final "pure" physics project just got published in @NanoLetters
https://t.co/vf1AciNaru
joint work with Ludwig Burger, @ceslopast, Hamid Seyed-Allaei @GiovanniGiunt20 and Ulrich Gerland
Do you think your LLM is robust?⚠️With current adversarial attacks it is hard to find out since they optimize the wrong thing! We fix this with our adaptive, semantic, and distributional objective.
By @guennemann's lab & @GoogleAI, w/ @cais support
Here's how we did it. 🧵
Safe and reliable machine learning has never been more relevant.
However, at the same time, LLMs made robustness research **more complex, less reproducible, and harder-to-evaluate**.
How can we enable research progress despite these challenges?🧵
@guennemann@gauthier_gidel
Congrats to my amazing PhD students: We have 9 papers accepted at #ICLR2025. Reliability, AI4Science, graphs, LLMs, and more (https://t.co/O3f86agVaN).
And if you follow the recent discussions about AI efficiency, you might like our blog and webinars (https://t.co/MsohgAJRUZ).
Super happy & honored that our work on certifying NNs against poisoning won the Best Paper Award @AdvMLFrontiers at #NeurIPS2024. Come by our poster 10:40am-12&4-5pm (or talk) tomorrow :)
Joint work w/@maha81193, Debarghya Ghoshdastidar & @guennemann
L: https://t.co/PrZi2nlUtY
Make sure to stop by our #NeurIPS poster on Spatio-Spectral Graph Neural Networks (S²GNNs)!
An efficient synergy of spatially & spectrally parametrised graph convolutions.
Joint work w/ @geisler_si@dan1elherbst@guennemann.
📎 https://t.co/wzX5M67oPY
📆 Dec 13, 11am, #4608
Excited to present our spotlight paper on uncertainty for GNNs at #NeurIPS!
📝Paper: https://t.co/YW8B7tXqoo
📆Come by our poster on Dec 12th at 11am!
Thanks to my amazing collaborators @TomWollschlager and @guennemann!
🏃♂️Our model can applied both post-hoc at negligible cost to many popular GNNs!
🔦We also establish a connection to evidential learning that drastically improves the robustness to distribution shifts in terms of accuracy.
Excited to present our work on Neural Pfaffians at #NeurIPS.
🗣️ Oral: Friday 3:30pm, East Ballroom A, B
📊 Post: Friday 4:30pm - 7:30pm, East Exhibit Hall A-C #3600
📝 Paper: https://t.co/X54t2hhfZs
Happy to chat!
This week, we will present our recent #NeurIPS2024 paper.
📎 Paper: https://t.co/92UJBKn4WZ
📆 Make sure to visit our poster #2600 on Fri, 13 December at 11 am!
Joint work with my amazing mentors @leon_het@j_m_sommer@fabian_theis@guennemann
Next week, I'll present our recent paper at NeurIPS 2024 in Vancouver.
Many thanks to my amazing collaborators @Bertrand_Charp, @DanielZuegner , and @guennemann!