AI
ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
Researchers propose ERASE, a scheduling technique for faster training of modern recommendation syste...
AI
Coverage-Driven RTL Assertion Generation with Formal Exploration and Neuro-Symbolic Refinement
Researchers have developed a new system for generating high-quality assertions in hardware design. A...
AI
Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models
Researchers have developed a new method for accelerating video generation and world models using spa...
AI
Physics-Unrolled Neural Operator for Wireless Field Modeling
Researchers have developed a new model called Physics-Unrolled Hybrid Neural Operator (PU-HNO) that ...
AI
Science Done on a Machine by a Machine: AI Agents in Computational Chemistry
Researchers are developing AI agents that can perform computational chemistry si...
AI
OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation
Researchers have proposed a new deep learning model called OptiModNet for segmen...
AI
GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channels
Researchers have developed a new method for compressing wireless channel data ca...
AI
Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection
Researchers have developed a new method for detecting AI-generated images. They ...