Summary of Granger Causality in Extremes, by Juraj Bodik and Olivier C. Pasche
Granger Causality in Extremesby Juraj Bodik, Olivier C. PascheFirst submitted to arxiv on: 12 Jul…
Summary of Accelerating the Inference Of String Generation-based Chemical Reaction Models For Industrial Applications, by Mikhail Andronov et al.
Accelerating the inference of string generation-based chemical reaction models for industrial applicationsby Mikhail Andronov, Natalia…
Summary of Optimized Multi-token Joint Decoding with Auxiliary Model For Llm Inference, by Zongyue Qin et al.
Optimized Multi-Token Joint Decoding with Auxiliary Model for LLM Inferenceby Zongyue Qin, Ziniu Hu, Zifan…
Summary of Graph Neural Network Causal Explanation Via Neural Causal Models, by Arman Behnam et al.
Graph Neural Network Causal Explanation via Neural Causal Modelsby Arman Behnam, Binghui WangFirst submitted to…
Summary of Weight Block Sparsity: Training, Compilation, and Ai Engine Accelerators, by Paolo D’alberto et al.
Weight Block Sparsity: Training, Compilation, and AI Engine Acceleratorsby Paolo D'Alberto, Taehee Jeong, Akshai Jain,…
Summary of Variational Inference Via Smoothed Particle Hydrodynamics, by Yongchao Huang
Variational Inference via Smoothed Particle Hydrodynamicsby Yongchao HuangFirst submitted to arxiv on: 12 Jul 2024CategoriesMain:…
Summary of H2o-danube3 Technical Report, by Pascal Pfeiffer et al.
H2O-Danube3 Technical Reportby Pascal Pfeiffer, Philipp Singer, Yauhen Babakhin, Gabor Fodor, Nischay Dhankhar, Sri Satish…
Summary of Provable Privacy Advantages Of Decentralized Federated Learning Via Distributed Optimization, by Wenrui Yu et al.
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimizationby Wenrui Yu, Qiongxiu Li, Milan…
Summary of On Exact Bit-level Reversible Transformers Without Changing Architectures, by Guoqiang Zhang and J.p. Lewis and W. B. Kleijn
On Exact Bit-level Reversible Transformers Without Changing Architecturesby Guoqiang Zhang, J.P. Lewis, W. B. KleijnFirst…
Summary of Characterizing Prompt Compression Methods For Long Context Inference, by Siddharth Jha et al.
Characterizing Prompt Compression Methods for Long Context Inferenceby Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim,…