Zobrazeno 1 - 10
of 107 871
pro vyhledávání: '"A Siddiqui"'
Considering the ever-evolving threat landscape and rapid changes in software development, we propose a risk assessment framework SRiQT (Software Risk Quantification through Trust). This framework is based on the necessity of a dynamic, data-driven, a
Externí odkaz:
http://arxiv.org/abs/2408.02876
Large machine-learning training datasets can be distilled into small collections of informative synthetic data samples. These synthetic sets support efficient model learning and reduce the communication cost of data sharing. Thus, high-fidelity disti
Externí odkaz:
http://arxiv.org/abs/2408.02266
Autor:
Siddiqui, Shoaib Ahmed, Dong, Xin, Heinrich, Greg, Breuel, Thomas, Kautz, Jan, Krueger, David, Molchanov, Pavlo
Large Language Models (LLMs) are not only resource-intensive to train but even more costly to deploy in production. Therefore, recent work has attempted to prune blocks of LLMs based on cheap proxies for estimating block importance, effectively remov
Externí odkaz:
http://arxiv.org/abs/2407.16286
Autor:
Chi, Seunggeun, Chi, Hyung-gun, Ma, Hengbo, Agarwal, Nakul, Siddiqui, Faizan, Ramani, Karthik, Lee, Kwonjoon
We introduce the Multi-Motion Discrete Diffusion Models (M2D2M), a novel approach for human motion generation from textual descriptions of multiple actions, utilizing the strengths of discrete diffusion models. This approach adeptly addresses the cha
Externí odkaz:
http://arxiv.org/abs/2407.14502
Autor:
Monti, Maurizio, Siddiqui, Khalid M., Perez-Salinas, Daniel, Agarwal, Naman, Bremholm, Martin, Li, Xiang, Prabhakaran, Dharmalingam, Liu, Xin, Babich, Danylo, Sander, Mathias, Deng, Yunpei, Lemke, Henrik T., Mankowsky, Roman, Liu, Xuerong, Wall, Simon E.
Understanding how light modifies long-range order is key to improve our ability to control material functionality on an ultrafast timescale. Transient spatial heterogeneity has been proposed in many materials, but isolating the dynamics of different
Externí odkaz:
http://arxiv.org/abs/2407.03013
Autor:
Bensadoun, Raphael, Monnier, Tom, Kleiman, Yanir, Kokkinos, Filippos, Siddiqui, Yawar, Kariya, Mahendra, Harosh, Omri, Shapovalov, Roman, Graham, Benjamin, Garreau, Emilien, Karnewar, Animesh, Cao, Ang, Azuri, Idan, Makarov, Iurii, Le, Eric-Tuan, Toisoul, Antoine, Novotny, David, Gafni, Oran, Neverova, Natalia, Vedaldi, Andrea
We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3D shapes and textures in under a minute. It supports physically-based
Externí odkaz:
http://arxiv.org/abs/2407.02599
Autor:
Siddiqui, Yawar, Monnier, Tom, Kokkinos, Filippos, Kariya, Mahendra, Kleiman, Yanir, Garreau, Emilien, Gafni, Oran, Neverova, Natalia, Vedaldi, Andrea, Shapovalov, Roman, Novotny, David
We present Meta 3D AssetGen (AssetGen), a significant advancement in text-to-3D generation which produces faithful, high-quality meshes with texture and material control. Compared to works that bake shading in the 3D object's appearance, AssetGen out
Externí odkaz:
http://arxiv.org/abs/2407.02445
The relaxation of atomic positions to their optimal structural arrangement is crucial for understanding the emergence of new physical behavior in long scale superstructures in twisted bilayers of two-dimensional materials. The amount of deviation fro
Externí odkaz:
http://arxiv.org/abs/2406.19462
Partial-order plans in AI planning facilitate execution flexibility and several other tasks, such as plan reuse, modification, and decomposition, due to their less constrained nature. A Partial-Order Plan (POP) allows two actions with no ordering bet
Externí odkaz:
http://arxiv.org/abs/2406.18615
Pluggable type systems allow programmers to extend the type system of a programming language to enforce semantic properties defined by the programmer. Pluggable type systems are difficult to deploy in legacy codebases because they require programmers
Externí odkaz:
http://arxiv.org/abs/2406.15676