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
Come stop by our steering vector poster 🪩 DISCO: Disentangled Communication Steering for Large Language Models 🪩 at @NeurIPSConf 2025 today from 4:30–7:30PM in Exhibit Hall C,D,E (Poster #4001)!
📜 Paper: https://t.co/wgkOVb9ccW
🤖 Code: https://t.co/6wIP8UV1nC
ICLR has placed OpenReview in a difficult position, so I want to offer a few words about the OpenReview team working behind the scenes.
OpenReview has long been operated at UMass Amherst as a non-profit organization founded by Andrew McCallum. Each year, Andrew must raise more than $2 million to support a 20-person team that provides essential infrastructure for most major conferences.
I once asked Andrew what might have been a naïve question: whether he had considered developing a business model for OpenReview, given its prominence and the seemingly obvious opportunities. He pushed back, explaining that everything he has done for OpenReview is driven by a commitment to serve and strengthen the academic community. He is willing to devote significant personal effort to ensure the platform remains freely accessible to all.
We should not blame such a brilliant and dedicated team for an accidental issue. Otherwise, fewer people would be willing to shoulder this kind of responsibility in the future.
Deep respect to the OpenReview team! I’m grateful for their work and happy to support in any way!
🎉 Very happy to share that our work "DISCO: Disentangled Communication Steering for Large Language Models" has been accepted to NeurIPS 2025!
🪩 DISCO controls LLM behavior using steering vectors on query and value representations.
🔗https://t.co/VHL5KTrB3T
#NeurIPS2025
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