Scannet++: A high-fidelity dataset of 3d indoor scenes
We present ScanNet++, a large-scale dataset that couples together capture of high-quality
and commodity-level geometry and color of indoor scenes. Each scene is captured with a …
and commodity-level geometry and color of indoor scenes. Each scene is captured with a …
The falcon series of open language models
E Almazrouei, H Alobeidli, A Alshamsi… - arXiv preprint arXiv …, 2023 - arxiv.org
We introduce the Falcon series: 7B, 40B, and 180B parameters causal decoder-only models
trained on a diverse high-quality corpora predominantly assembled from web data. The …
trained on a diverse high-quality corpora predominantly assembled from web data. The …
Diffusion Schrödinger bridge matching
Solving transport problems, ie finding a map transporting one given distribution to another,
has numerous applications in machine learning. Novel mass transport methods motivated …
has numerous applications in machine learning. Novel mass transport methods motivated …
Imitating human behaviour with diffusion models
Diffusion models have emerged as powerful generative models in the text-to-image domain.
This paper studies their application as observation-to-action models for imitating human …
This paper studies their application as observation-to-action models for imitating human …
Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Z Liu, D Sun, C Wang - Genome Biology, 2022 - Springer
Background Cell-cell interactions are important for information exchange between different
cells, which are the fundamental basis of many biological processes. Recent advances in …
cells, which are the fundamental basis of many biological processes. Recent advances in …
Recent advances in optimal transport for machine learning
Recently, Optimal Transport has been proposed as a probabilistic framework in Machine
Learning for comparing and manipulating probability distributions. This is rooted in its rich …
Learning for comparing and manipulating probability distributions. This is rooted in its rich …
Independent se (3)-equivariant models for end-to-end rigid protein docking
Protein complex formation is a central problem in biology, being involved in most of the cell's
processes, and essential for applications, eg drug design or protein engineering. We tackle …
processes, and essential for applications, eg drug design or protein engineering. We tackle …
Equivariant flow matching
Normalizing flows are a class of deep generative models that are especially interesting for
modeling probability distributions in physics, where the exact likelihood of flows allows …
modeling probability distributions in physics, where the exact likelihood of flows allows …
Multisample flow matching: Straightening flows with minibatch couplings
Simulation-free methods for training continuous-time generative models construct probability
paths that go between noise distributions and individual data samples. Recent works, such …
paths that go between noise distributions and individual data samples. Recent works, such …
Nersemble: Multi-view radiance field reconstruction of human heads
We focus on reconstructing high-fidelity radiance fields of human heads, capturing their
animations over time, and synthesizing re-renderings from novel viewpoints at arbitrary time …
animations over time, and synthesizing re-renderings from novel viewpoints at arbitrary time …