Tootfinder

Code Difference Guided Fuzzing for FPGA Logic Synthesis Compilers via Bayesian Optimization
Zhihao Xu, Shikai Guo, Guilin Zhao, Peiyu Zou, Siwen Wang, Qian Ma, Hui Li, Furui Zhan
https://arxiv.org/abs/2508.17713

Code Difference Guided Fuzzing for FPGA Logic Synthesis Compilers via Bayesian Optimization
Field Programmable Gate Arrays (FPGAs) play a crucial role in Electronic Design Automation (EDA) applications, which have been widely used in safety-critical environments, including aerospace, chip manufacturing, and medical devices. A critical step in FPGA development is logic synthesis, which enables developers to translate their software designs into hardware net lists, which facilitates the physical implementation of the chip, detailed timing and power analysis, gate-level simulation, test …

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
Shikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang
https://arxiv.org/abs/2508.16211

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
Diffusion Transformers (DiTs) have demonstrated exceptional performance in high-fidelity image and video generation. To reduce their substantial computational costs, feature caching techniques have been proposed to accelerate inference by reusing hidden representations from previous timesteps. However, current methods often struggle to maintain generation quality at high acceleration ratios, where prediction errors increase sharply due to the inherent instability of long-step forecasting. In th…

A HyperGraphMamba-Based Multichannel Adaptive Model for ncRNA Classification
Xin An, Ruijie Li, Qiao Ning, Hui Li, Qian Ma, Shikai Guo
https://arxiv.org/abs/2509.20240 https://

A HyperGraphMamba-Based Multichannel Adaptive Model for ncRNA Classification
Non-coding RNAs (ncRNAs) play pivotal roles in gene expression regulation and the pathogenesis of various diseases. Accurate classification of ncRNAs is essential for functional annotation and disease diagnosis. To address existing limitations in feature extraction depth and multimodal fusion, we propose HGMamba-ncRNA, a HyperGraphMamba-based multichannel adaptive model, which integrates sequence, secondary structure, and optionally available expression features of ncRNAs to enhance classificat…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Karen y Los Remedios:
🎵 Canario
#KarenyLosRemedios
https://shikashika.bandcamp.com/track/canario
https://open.spotify.com/track/0hwT9RqvbkUH222D48PsxJ

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/8]:
- Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generation
Chenjie Cao, Jingkai Zhou, Shikai Li, Jingyun Liang, Chaohui Yu, Fan Wang, Xiangyang Xue, Yanwei Fu

The effects of no-slip boundaries and external force torque on two-dimensional turbulence in a square domain
Alisa Shikanian, Vladimir Parfenyev
https://arxiv.org/abs/2508.13590

The effects of no-slip boundaries and external force torque on two-dimensional turbulence in a square domain
We study two-dimensional turbulence in a square no-slip domain without bottom drag using direct numerical simulations. The dynamics are shown to depend strongly on the torque $M$ of the external forcing. When $M$ is relatively large, a long-lived coherent vortex forms at the domain center, establishing a persistent angular momentum. At lower torques, the angular momentum undergoes random sign reversals due to spontaneous switching of the central vortex circulation, though it predominantly align…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Karen y Los Remedeos:
🎵 Presagio
#KarenyLosRemedeos
https://shikashika.bandcamp.com/track/presagio
https://open.spotify.com/track/7hVwUppGpBWzfyEvejlYjz

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Image memorability predicts social media virality and externally-associated commenting
Shikang Peng, Wilma A. Bainbridge

A Novel Mutation Based Method for Detecting FPGA Logic Synthesis Tool Bugs
Yi Zhang, He Jiang, Xiaochen Li, Shikai Guo, Peiyu Zou, Zun Wang
https://arxiv.org/abs/2508.15536 http…

A Novel Mutation Based Method for Detecting FPGA Logic Synthesis Tool Bugs
FPGA (Field-Programmable Gate Array) logic synthesis tools are key components in the EDA (Electronic Design Automation) toolchain. They convert hardware designs written in description languages such as Verilog into gate-level representations for FPGAs. However, defects in these tools may lead to unexpected behaviors and pose security risks. Therefore, it is crucial to harden these tools through testing. Although several methods have been proposed to automatically test FPGA logic synthesis tools…

Customizing the Inductive Biases of Softmax Attention using Structured Matrices
Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson
https://arxiv.org/abs/2509.07963

Customizing the Inductive Biases of Softmax Attention using Structured Matrices
The core component of attention is the scoring function, which transforms the inputs into low-dimensional queries and keys and takes the dot product of each pair. While the low-dimensional projection improves efficiency, it causes information loss for certain tasks that have intrinsically high-dimensional inputs. Additionally, attention uses the same scoring function for all input pairs, without imposing a distance-dependent compute bias for neighboring tokens in the sequence. In this work, we …