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22 Publications
2024 | Published | Conference Paper | IST-REx-ID: 19518 | 
Wu, Diyuan, et al. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19512 |
Andersson, Joel Daniel, et al. “Continual Counting with Gradual Privacy Expiration.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19515 |
Fumero, Marco, et al. “Latent Functional Maps: A Spectral Framework for Representation Alignment.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19510 |
Modoranu, Ionut-Vlad, et al. “MICROADAM: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19517 |
Crisostomi, Donato, et al. “C2M3: Cycle-Consistent Multi-Model Merging.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19511 |
Ashkboos, Saleh, et al. “QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19519 |
Malinovskii, Vladimir, et al. “PV-Tuning: Beyond Straight-through Estimation for Extreme LLM Compression.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 15363 |
Safaryan, Mher, et al. “Knowledge Distillation Performs Partial Variance Reduction.” 36th Conference on Neural Information Processing Systems, vol. 36, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 15364 |
Charikar, Moses, et al. “Simple, Scalable and Effective Clustering via One-Dimensional Projections.” 37th Conference on Neural Information Processing Systems, vol. 36, 2023.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 18876 |
Kocsis, Peter, et al. “The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes.” 36th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2022, pp. 1896–908.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11453 |
Braun, Lukas, and Tim P. Vogels. “Online Learning of Neural Computations from Sparse Temporal Feedback.” Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, vol. 20, Neural Information Processing Systems Foundation, 2021, pp. 16437–50.
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2021 | Published | Conference Paper | IST-REx-ID: 11452 |
Alimisis, Foivos, et al. “Distributed Principal Component Analysis with Limited Communication.” Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, vol. 4, Neural Information Processing Systems Foundation, 2021, pp. 2823–34.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10593 |
Mondelli, Marco, and Ramji Venkataramanan. “PCA Initialization for Approximate Message Passing in Rotationally Invariant Models.” 35th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2021, pp. 29616–29.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10594 |
Nguyen, Quynh, et al. “When Are Solutions Connected in Deep Networks?” 35th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11458 |
Krumes, Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Neural Information Processing Systems Foundation, 2021, pp. 8557–70.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11463 |
Frantar, Elias, et al. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” 35th Conference on Neural Information Processing Systems, vol. 34, Neural Information Processing Systems Foundation, 2021, pp. 14873–86.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11464 |
Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” 35th Conference on Neural Information Processing Systems, vol. 34, Neural Information Processing Systems Foundation, 2021, pp. 7254–66.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9632 |
Singh, Sidak Pal, and Dan-Adrian Alistarh. WoodFisher: Efficient Second-Order Approximation for Neural Network Compression. Vol. 33, Neural Information Processing Systems Foundation, 2020, pp. 18098–109.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9631 |
Aksenov, Vitaly, et al. Scalable Belief Propagation via Relaxed Scheduling. Vol. 33, Neural Information Processing Systems Foundation, 2020, pp. 22361–72.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9633 |
Confavreux, Basile J., et al. “A Meta-Learning Approach to (Re)Discover Plasticity Rules That Carve a Desired Function into a Neural Network.” Advances in Neural Information Processing Systems, vol. 33, 2020, pp. 16398–408.
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