Papers

• Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows (2026)
  Jinyuan Deng et al.
  1.94
• Optical Flow Sensor: A Direction-Selective Bionic Retina Design (2026)
  Juchen Zhou et al.
  1.94
• WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization (2026)
  Fanzhe Wei et al.
  1.94
• Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair (2026)
  Ha Trung Tran
  1.94
• Adaptivity via a Parallel Architecture for Stochastic Gradient Methods Adaptivity via a Parallel Architecture for Stochastic Gradient Methods Adaptivity via a Parallel Architecture for Stochastic Gradient Methods (2026)
  Bin Fu
  1.94
• RTLCurator: Label-Efficient Data Curation for RTL Generation (2026)
  Siyang Cai et al.
  1.94
• ORBIS: Output-Guided Token Reduction with Distribution-Aware Matching for Video Diffusion Acceleration (2026)
  Hangyeol Lee and Joo-Young Kim
  1.83
• FlowPlace: Flow Matching for Chip Placement (2026)
  Peng Xie et al.
  1.78
• Accelerating Diffusion Models for Generative AI Applications with Silicon Photonics (2026)
  Tharini Suresh et al.
  1.72
• Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL (2026)
  Siyang Cai et al.
  1.72
• From Physics to Surrogate Intelligence: A Unified Electro-Thermo-Optimization Framework for TSV Networks (2026)
  Mohamed Gharib et al.
  1.72
• TIMERIPPLE: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space (2025)
  Wenxuan Miao et al.
  1.50
• FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models (2025)
  Sankeerth Durvasula et al.
  1.39
• CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model (2025)
  Jinming Lu et al.
  1.11
• MixDiT: Accelerating Image Diffusion Transformer Inference with Mixed-Precision MX Quantization (2025)
  Daeun Kim et al.
  1.11
• EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models (2025)
  Jaehoon Heo et al.
  0.94
• Ditto: Accelerating Diffusion Model via Temporal Value Similarity (2025)
  Sungbin Kim et al.
  0.94
• PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics (2025)
  Tharini Suresh et al.
  0.94
• SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity (2025)
  Zichen Fan et al.
  0.94
• SF-MMCN: Low-Power Sever Flow Multi-Mode Diffusion Model Accelerator (2024)
  Huan-Ke Hsu et al.
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• Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model (2024)
  Jichang Yang et al.
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• Guardians of the Quantum GAN (2024)
  Archisman Ghosh et al.
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• LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation (2024)
  Mufei Li et al.
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