Brian Chmiel
7 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(3)
🏃
Academic Marathon
(5)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(7)
Conferences
ICLR (4)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
neural network quantization
(2)
model compression
(1)
neural network compression
(1)
structural pruning
(1)
matrix multiplication
(1)
bandwidth reduction
(1)
block sparsity
(1)
compression-aware training
(1)
feature map compression
(1)
low-entropy representation
(1)
robust quantization
(1)
quantization policies
(1)
sparse neural training
(1)
quantization policy
(1)
Papers
Scaling FP8 training to trillion-token LLMs
ICLR 2025
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
ICLR 2023
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
ICLR 2023
CAT: Compression-Aware Training for bandwidth reduction
JMLR 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
NIPS 2021
Neural gradients are near-lognormal: improved quantized and sparse training
ICLR 2021
Robust Quantization: One Model to Rule Them All
NIPS 2020