Search Results for author: Tian Chen

Found 9 papers, 2 papers with code

Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference

1 code implementation22 May 2023 Jinghan Yao, Nawras Alnaasan, Tian Chen, Aamir Shafi, Hari Subramoni, Dhabaleswar K., Panda

Inference on these models, by design, harnesses a temporal dependency, where the current token's probability distribution is conditioned on preceding tokens.

Computational Efficiency

Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method

no code implementations13 Oct 2019 Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba

We show that our method leads to substantially higher accuracy rate for neural decoding and allows to discover novel biological phenomena by providing a clear latent representation of the decoding process.

Point Processes Representation Learning

What is the stiffness of a bent book?

no code implementations2 Dec 2020 Samuel Poincloux, Tian Chen, Basile Audoly, Pedro Reis

We study the bending of a book-like system, comprising a stack of elastic plates coupled through friction.

Dimensionality Reduction Soft Condensed Matter

Unified High-binding Watermark for Unconditional Image Generation Models

no code implementations14 Oct 2023 Ruinan Ma, Yu-an Tan, Shangbo Wu, Tian Chen, Yajie Wang, Yuanzhang Li

In the first stage, we use an encoder to invisibly write the watermark image into the output images of the original AIGC tool, and reversely extract the watermark image through the corresponding decoder.

Image Generation Unconditional Image Generation

Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation

no code implementations12 Dec 2023 Yuliang Gu, Zhichao Sun, Tian Chen, Xin Xiao, Yepeng Liu, Yongchao Xu, Laurent Najman

In this paper, we propose novel dual structure-aware image filterings (DSAIF) as the image-level variations for semi-supervised medical image segmentation.

Image Segmentation Segmentation +2

Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane

no code implementations24 Mar 2024 Han Yan, Yang Li, Zhennan Wu, Shenzhou Chen, Weixuan Sun, Taizhang Shang, Weizhe Liu, Tian Chen, Xiaqiang Dai, Chao Ma, Hongdong Li, Pan Ji

We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in a single pass.

Denoising

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