Everyone can now train high-dimensional muscle agents with RL, as we just released our code! Come join me at the #MyoChallenge workshop tomorrow at 10:00 in room 354 at #NeurIPS2023 to see my poster.
Code is here!
github.com/martius-lab/de…
Proceedings now available for
GAUCHE: A Library for Gaussian Processes in Chemistry
at #NeurIPS2023 !
Calling for contributors to support the next wave of applications for GP regression and Bayesian optimisation in #AI4Science
Poster: neurips.cc/virtual/2023/p…
Code:…
Thank you to all #NeurIPS2023 organizers! I had so much fun talking science (and non-science) with everyone, looking forward to seeing more cool works🤩 Presented works👇
OMNI: jennyzhangzt.com/omni/
QDHF: liding.info/qdhf/
QDAIF: qdaif.github.io
🤯It still feels like a dream to me. I could never have imagined that the guy who taught me machine learning on Coursera 7 years ago would come to my NeurIPS Conference poster and take a picture. Thanks, Andrew Ng. This is incredibly encouraging for me!
#NeurIPS2023 #MachineLearning
Join us today at the Robot Learning Workshop during #NeurIPS2023 to checkout #LocoMuJoCo , the first imitation learning benchmark for locomotion. Join us to see our poster and chat about humanoids!
Now even easier to install:
pip install loco-mujoco
github.com/robfiras/loco-…
Unable to keep up with the deluge of amazing work happening in ML for Biology and Health at NeurIPS this year?
We've got you covered with a concise summary of #NeurIPS2023 content focussed at the exciting intersection of Biology, Health and AI!
thread 👇
We present MusicGen at #NeurIPS2023 on Thu at 10.45am. Poster #603 'Simple and Controllable Music Generation”.
MusicGen is a state-of-the-art text-to-music generation model with optional control over the melody. It can generate high-quality samples, both mono and stereo. 🧵[1/6]
![We present MusicGen at #NeurIPS2023 on Thu at 10.45am. Poster #603 'Simple and Controllable Music Generation”.
MusicGen is a state-of-the-art text-to-music generation model with optional control over the melody. It can generate high-quality samples, both mono and stereo. 🧵[1/6]](https://pbs.twimg.com/media/GBPnmBYXUAAj_3j.jpg "Jade Copet (@jadecopet) on Twitter photo 2023-12-13 17:40:43 We present MusicGen at #NeurIPS2023 on Thu at 10.45am. Poster #603 'Simple and Controllable Music Generation”.
MusicGen is a state-of-the-art text-to-music generation model with optional control over the melody. It can generate high-quality samples, both mono and stereo. 🧵[1/6]")
I am thrilled that our “Graph-Theoretical Approaches for AI-Driven Discovery in Quantum Optics” poster won a poster award at the Machine Learning and the Physical Sciences workshop - 1 of just 2 chosen from 250! 🎉 #ML4PS2023 #NeurIPS2023
🌟 New AI Paper 🌟
👏 Kudos to Tyler and team for their groundbreaking work: 'Towards Last-Layer Retraining for Group Robustness with Fewer Annotations'
📅 Presented at #NeurIPS2023 !
bytez.com/read/neurips/7…
🤔 Q: How do you find low-quality data?
💡 A: Corrupt the good ones and watch where they go!
Sharing this simple yet generalizable data pruning idea I worked on this summer at the ENLSP workshop #NeurIPS2023 as an *Oral* presentation!
arXiv: arxiv.org/abs/2312.02418
(🧵1/)
Today at #NeurIPS2023 I will be presenting our work on 'Latent Field Discovery in Interacting Dynamical Systems with Neural Fields'.
Join us at poster session 3 on Wednesday morning, poster #619.
Paper: arxiv.org/abs/2310.20679
Source code: github.com/mkofinas/aether
[1/8] 🧵
![Today at #NeurIPS2023 I will be presenting our work on 'Latent Field Discovery in Interacting Dynamical Systems with Neural Fields'.
Join us at poster session 3 on Wednesday morning, poster #619.
Paper: arxiv.org/abs/2310.20679
Source code: github.com/mkofinas/aether
[1/8] 🧵](https://pbs.twimg.com/media/GBNnLbPWoAA1lpx.jpg "Miltos Kofinas (@MiltosKofinas) on Twitter photo 2023-12-13 08:01:44 Today at #NeurIPS2023 I will be presenting our work on 'Latent Field Discovery in Interacting Dynamical Systems with Neural Fields'.
Join us at poster session 3 on Wednesday morning, poster #619.
Paper: arxiv.org/abs/2310.20679
Source code: github.com/mkofinas/aether
[1/8] 🧵")
🌟 New AI Paper 🌟
👏 Kudos to Jerry and team for their groundbreaking work: 'QuIP: 2-Bit Quantization of Large Language Models With Guarantees'
📅 Presented at #NeurIPS2023 !
bytez.com/read/neurips/6…
🌟 New AI Paper 🌟
👏 Kudos to Wendong and team for their groundbreaking work: 'Causal Component Analysis'
📅 Presented at #NeurIPS2023 !
bytez.com/read/neurips/7…
If you are interested in our #ICASSP2024 paper on zero- & few-shot sound event detection & localization ( #SELD ), check out our DCASE2024 challenge task 3 as well!
Challenge: dcase.community/challenge2024/…
Dataset ( #NeurIPS2023 ): proceedings.neurips.cc/paper_files/pa…
One thing that stood out to me at #NeurIPS2023 was there were a lot more application papers than before.
This was not the case with my last neurips (2018).
I'd like to encourage this wave by highlighting one such paper.
LayoutGPT: Compositional Visual Planning and Generation…
