Basic Layers In SPDNET, TSMNET, and Statistical Results of Scaling in the LieBN Post date February 27, 2025 Post author By Batching Post categories In batch-normalization, batching, bimap, normalization, reeig-mimic-transformation, spd-neural-networks, spdnet, tsmnet
Proposing A Novel Framework Called LieBN: A Conclusion Post date February 27, 2025 Post author By Batching Post categories In batch-normalization, batching, euclidean-groups, lie-groups, liebn, normalization, novel-framework, spd-manifolds
A Lie Group Approach to Riemannian Batch Normalization: Experimental Results Post date February 27, 2025 Post author By Batching Post categories In batch-normalization, batching, lie-group-approach, liebn, normalization, riemmanian-batch, spdnet, tsmnet
Training AI Models on Nvidia A100 GPUs Post date February 25, 2025 Post author By Batching Post categories In ai-code-generation, ai-inference, bifurcated-attention, llm-batch-sampling, low-latency-ai, memory-io-optimization, nvidia-a100-gpus, transformer-model-efficiency
Why Memory I/O Efficiency Matters for AI Model Performance Post date February 25, 2025 Post author By Batching Post categories In ai-code-generation, ai-inference, bifurcated-attention, llm-batch-sampling, low-latency-ai, memory-io-optimization, multi-query-attention, transformer-model-efficiency
FAQs: How Bifurcated Attention Improves AI Model Efficiency Post date February 25, 2025 Post author By Batching Post categories In ai-code-generation, ai-inference, bifurcated-attention, llm-batch-sampling, low-latency-ai, memory-io-optimization, multi-query-attention, transformer-model-efficiency
Riemannian Normalization on Lie Groups Post date February 25, 2025 Post author By Batching Post categories In batch-normalization, batching, euclidean-bn, euclidean-normalization, lie-groups, rbn, riemannian-normalization, spd-manifolds
Revisiting Existing RBN: Developing Riemannian Normalization Approaches Tailored for Manifolds Post date February 25, 2025 Post author By Batching Post categories In batch-normalization, batching, manifolds, normalization, riemannian-normalization, spd-manifolds, traditional-dnns, what-is-batch-normalization
Revisiting Euclidean Normalization: A Second Look Post date February 25, 2025 Post author By Batching Post categories In batch-normalization, batch-variance, batching, euclidean-dnn, euclidean-normalization, internal-covariate, network-training, what-is-batch-normalization
Faster AI Code Generation with Bifurcated Attention Post date February 24, 2025 Post author By Batching Post categories In ai-code-generation, ai-inference, bifurcated-attention, llm-batch-sampling, low-latency-ai, memory-io-optimization, multi-query-attention, transformer-model-efficiency
A Brief Review of the Lie Group and the Geometries of SPD Manifolds Post date February 22, 2025 Post author By Batching Post categories In batching, lie-group-approach, manifold, riemannian-metric, spd-manifolds, spd-manifolds-explained, spd-matrices, what-is-a-manifold
A Lie Group Approach to Riemannian Batch Normalization Post date February 22, 2025 Post author By Batching Post categories In batch-normalization, batching, deep-neural-networks, lie-group-approach, manifold-value-measurements, riemmanian-batch, symmetric-positive-definite, what-are-dnns
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