The unknotting number, hard unknot diagrams, and reinforcement learning
Applebaum, T
Blackwell, S
Davies, A
Edlich, T
Juhász, A
Lackenby, M
Tomašev, N
Zheng, D
(13 Sep 2024)
The Yaglom limit for branching Brownian motion with absorption and slightly subcritical drift
Berestycki, J
Liu, J
Mallein, B
Schweinsberg, J
(16 Sep 2024)
Boundary rigidity of 3D CAT(0) cube complexes
Haslegrave, J
Scott, A
Tamitegama, Y
Tan, J
European Journal of Combinatorics
volume 124
(01 Oct 2024)
Decomposing force fields as flows on graphs reconstructed from stochastic trajectories
Nartallo-Kaluarachchi, R
Expert, P
Beers, D
Strang, A
Kringelbach, M
Lambiotte, R
Goriely, A
(02 Sep 2024)
Modified Macdonald polynomials and the multispecies zero range process: II
Ayyer, A
Mandelshtam, O
Martin, J
Mathematische Zeitschrift
volume 308
issue 2
31
(13 Oct 2024)
Applications of Twistor Theory
Mason, L
Encyclopedia of Mathematical Physics
328-334
(2025)
CaM: Cache Merging for Memory-efficient LLMs Inference
Zhang, Y
Du, Y
Luo, G
Zhong, Y
Zhang, Z
Liu, S
Ji, R
Proceedings of Machine Learning Research
volume 235
58840-58850
(01 Jan 2024)
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs “Difficult" Downstream Tasks in LLMs
Yin, L
Jaiswal, A
Liu, S
Kundu, S
Wang, Z
Proceedings of Machine Learning Research
volume 235
57053-57068
(01 Jan 2024)
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
Yin, L
Wu, Y
Zhang, Z
Hsieh, C
Wang, Y
Jia, Y
Li, G
Jaiswal, A
Pechenizkiy, M
Liang, Y
Bendersky, M
Wang, Z
Liu, S
Proceedings of Machine Learning Research
volume 235
57101-57115
(01 Jan 2024)
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
Ji, J
Li, G
Yin, L
Qin, M
Yuan, G
Guo, L
Liu, S
Ma, X
Proceedings of Machine Learning Research
volume 235
21606-21619
(01 Jan 2024)