Excited to present "LVT: Large-Scale Scene Reconstruction via Local View Transformers" at @SIGGRAPHAsia 2025, Hong Kong 🏙️
💡Linear-complexity, large-scale scene reconstruction in a single inference pass!
⚡Fast-forward: Mon 9am HKT (Hall 3F)
🗣️ Technical Presentation: Thu 1:10pm HKT (S426)
🔗 Project Page: https://t.co/x0mk6IMMoy
📄 Paper: https://t.co/RUnnKuHIRd
Work done during my internship at @Google Beam, with my amazing collaborators John Flynn, @lucyrchai, Kathryn Heal, @XuanLuo14, and Jungyeon Park ✨
#ACMSIGGRAPH #SIGGRAPHAsia2025 #3DGS
Excited to share that our paper "STAR: Stability Inducing Weight Perturbation for Continual Learning" has been accepted to #ICLR2025 🥳!
Openreview link: https://t.co/44GNb8soAW
Check out more work from our lab at
https://t.co/0W4MZ7Z1qp
Interested in robustness and uncertainty in XAI? Come check out our posters at #AISTATS2024 this week!
Thursday: https://t.co/YibVd2kc2T
Saturday: https://t.co/ewJuGaA5Yg
@zq90@drsandeshgh @MaxTee1996 @JoshBone18@mllabneu
Congratulations to Davin and the team for getting the paper accepted in @aistats_conf
https://t.co/dOaOwfKGpv…
Nice work showing the importance of boundary awareness in explainability and the uncertainty in explanations
@davinhill_ @MaxTee1996
Please read the paper for more details: https://t.co/6bLygJwGdA
All code available here: https://t.co/kE17lxO80E
Also see the related work by collaborators: https://t.co/685ae9J89c
We’re excited to describe new @GoogleHealth work that makes phenotyping more scalable. An unsupervised deep learning method, REpresentation learning for Genetic discovery on Low-dimensional Embeddings (REGLE), to perform GWAS on high-dimensional clinical data.
Happy #PiDay! Did you know that:
1- you can hear the sound of pi? https://t.co/9pJFYxVzSe
2- If you round pi to the nearest integer, you get the number of days till the early registration at #AISTATS closes?
https://t.co/NFjogsk9dS
Did you know that this year's AISTATS is hosted in sunny Valencia? Now is your chance to enjoy the sunny beaches & learn about the latest & greatest in the ML. Fill out an application to serve as a volunteer and get a free conference registration here https://t.co/lV52Xy0OUe
If you have a larger number of nominations than is practical to enter individually, then please get in touch with our workflow chairs Christian (@chris_naesseth) and Davin (@davinhill_)
AISTATS is accepting nominations for reviewers, meta-reviewers, and program commitee members (including self-nominations). You can submit nominations here: https://t.co/Ke4eMBAcBa