BC
Brian Chmiel
cs.LGcs.CVcs.AIstat.MLcs.CLcs.IRcs.NEcs.PF
On Valency
published · living versionsW_f2a7whhj·v1 · currentpublished
Dory1.0-4B: A Looped Normalized-GPT
with Maxim Fishman, Simeng Sun, Shantanu Acharya, Faisal Ladhak +4
1 version
Preprints & journals
17 papers in the corpus · 2019–2026UNREAL: Unifying Retrieval and Long-Context with a Single Model2610.08463v1 · Edan Kinderman, Elad Hoffer, Yochai Blau et al.2026 · 0 citationsarXiv
Normalized Architectures are Natively 4-Bit2605.06067v1 · Maxim Fishman, Brian Chmiel, Ron Banner et al.2026 · 0 citationsarXiv
FP4 All the Way: Fully Quantized Training of LLMs2505.19115v2 · Brian Chmiel, Maxim Fishman, Ron Banner et al.2025 · 1 citationarXiv
EXAQ: Exponent Aware Quantization For LLMs Acceleration2410.03185v1 · Moran Shkolnik, Maxim Fishman, Brian Chmiel et al.2024 · 0 citationsarXiv
Scaling FP8 training to trillion-token LLMs2409.12517v2 · Maxim Fishman, Brian Chmiel, Ron Banner et al.2024 · 1 citationarXiv
Bimodal Distributed Binarized Neural Networks2204.02004v1 · Tal Rozen, Moshe Kimhi, Brian Chmiel et al.2022 · 3 citationsarXiv
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients2203.10991v3 · Brian Chmiel, Itay Hubara, Ron Banner et al.2022 · 2 citationsarXiv
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats2112.10769v4 · Brian Chmiel, Ron Banner, Elad Hoffer et al.2021 · 6 citationsarXiv
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks2102.08124v2 · Itay Hubara, Brian Chmiel, Moshe Island et al.2021 · 36 citationsarXiv
Neural gradients are near-lognormal: improved quantized and sparse training2006.08173v3 · Brian Chmiel, Liad Ben-Uri, Moran Shkolnik et al.2020 · 17 citationsarXiv
Colored Noise Injection for Training Adversarially Robust Neural Networks2003.02188v2 · Evgenii Zheltonozhskii, Chaim Baskin, Yaniv Nemcovsky et al.2020 · 1 citationarXiv
Robust Quantization: One Model to Rule Them All2002.07686v3 · Moran Shkolnik, Brian Chmiel, Ron Banner et al.2020 · 47 citationsarXiv
Loss Aware Post-training Quantization1911.07190v2 · Yury Nahshan, Brian Chmiel, Chaim Baskin et al.2019 · 154 citationsarXiv
Smoothed Inference for Adversarially-Trained Models1911.07198v2 · Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin et al.2019 · 2 citationsarXiv
CAT: Compression-Aware Training for bandwidth reduction1909.11481v1 · Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii et al.2019 · 11 citationsarXiv
Feature Map Transform Coding for Energy-Efficient CNN Inference1905.10830v3 · Brian Chmiel, Chaim Baskin, Ron Banner et al.2019 · 24 citationsarXiv
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks1904.09872v4 · Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii et al.2019 · 5 citationsarXiv
Career total: 20 works. 17 are in this corpus.
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