9 papers
Rendering-Aware Bayesian 3D Gaussian Splatting with Native Uncertainty and Adaptive Complexity Control
Gaoxiang Jia, Vikram Appia, Junzhou Huang +1
3D Gaussian splatting (3DGS) is a strong representation for real-time novel-view synthesis, but its standard training pipeline relies on point estimates and hand-tuned heuristics,…
FarSkip-Collective: Unhobbling Blocking Communication in Mixture of Experts Models
Yonatan Dukler, Guihong Li, Deval Shah +3
Blocking communication presents a major hurdle in running MoEs efficiently in distributed settings. To address this, we present FarSkip-Collective which modifies the architecture o…
AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
Sharareh Younesian, Wenwen Ouyang, Sina Rafati +11
GPU kernel optimization is increasingly critical for efficient deep learning systems, but writing high-performance kernels still requires substantial low-level expertise. Recent AI…
CASCADE: Context-Aware Relaxation for Speculative Image Decoding
Selin Yildirim, Subhajit Dutta Chowdhury, Mohammad Mahdi Kamani +2
Autoregressive generation is a powerful approach for high-fidelity image synthesis, but it remains computationally demanding and slow even on the most advanced accelerators. While…
DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking
Akash Haridas, Utkarsh Saxena, Parsa Ashrafi Fashi +3
Diffusion Transformers rely on static patchify tokenization, assigning the same token budget to smooth backgrounds, detailed object regions, noisy early timesteps, and late-stage r…
Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling
Parsa Ashrafi Fashi, Utkarsh Saxena, Mehdi Rezagholizadeh +7
Hybrid sequence models that combine efficient Transformer components with linear sequence modeling blocks are a promising alternative to pure Transformers, but most are still pretr…