Zobrazeno 1 - 10
of 950
pro vyhledávání: '"Freeman, C. P."'
We propose a novel neural network approach, LARP (Learned Articulated Rigid body Physics), to model the dynamics of articulated human motion with contact. Our goal is to develop a faster and more convenient methodological alternative to traditional p
Externí odkaz:
http://arxiv.org/abs/2410.12023
Autor:
Hron, Jiri, Culp, Laura, Elsayed, Gamaleldin, Liu, Rosanne, Adlam, Ben, Bileschi, Maxwell, Bohnet, Bernd, Co-Reyes, JD, Fiedel, Noah, Freeman, C. Daniel, Gur, Izzeddin, Kenealy, Kathleen, Lee, Jaehoon, Liu, Peter J., Mishra, Gaurav, Mordatch, Igor, Nova, Azade, Novak, Roman, Parisi, Aaron, Pennington, Jeffrey, Rizkowsky, Alex, Simpson, Isabelle, Sedghi, Hanie, Sohl-dickstein, Jascha, Swersky, Kevin, Vikram, Sharad, Warkentin, Tris, Xiao, Lechao, Xu, Kelvin, Snoek, Jasper, Kornblith, Simon
While many capabilities of language models (LMs) improve with increased training budget, the influence of scale on hallucinations is not yet fully understood. Hallucinations come in many forms, and there is no universally accepted definition. We thus
Externí odkaz:
http://arxiv.org/abs/2408.07852
Autor:
Freeman, C. W. F., Xue, Z., Budniak, A. K., De Libero, H., Thomson, T., Bosman, M., Eda, G., Kurebayashi, H., Cubukcu, M.
Antiferromagnetic (AFM) magnons and the manipulation of magnetisation via spin currents in van der Waals (vdW) materials offer substantial potential for applications in magnonics and spintronics. In this study, we demonstrate ultrastrong magnon-magno
Externí odkaz:
http://arxiv.org/abs/2403.15558
Autor:
Khan, S., Aw, E. S. Y., Nagle-Cocco, L. A. V., Sud, A., Ghosh, S., Subhan, M. K. B., Xue, Z., Freeman, C., Sagkovits, D., Gutierrez-Llorente, A., Verzhbitskiy, I., Arroo, D. M., Zollitsch, C. W., Eda, G., Santos, E. J. G., Dutton, S. E., Bramwell, S. T., Howard, C. A., Kurebayashi, H.
Tuning magnetic properties in layered van der Waals (vdW) materials has captured a significant attention due to the efficient control of ground-states by heterostructuring and external stimuli. Electron doping by electrostatic gating, interfacial cha
Externí odkaz:
http://arxiv.org/abs/2312.17554
Autor:
Freeman, C. Daniel, Culp, Laura, Parisi, Aaron, Bileschi, Maxwell L, Elsayed, Gamaleldin F, Rizkowsky, Alex, Simpson, Isabelle, Alemi, Alex, Nova, Azade, Adlam, Ben, Bohnet, Bernd, Mishra, Gaurav, Sedghi, Hanie, Mordatch, Igor, Gur, Izzeddin, Lee, Jaehoon, Co-Reyes, JD, Pennington, Jeffrey, Xu, Kelvin, Swersky, Kevin, Mahajan, Kshiteej, Xiao, Lechao, Liu, Rosanne, Kornblith, Simon, Constant, Noah, Liu, Peter J., Novak, Roman, Qian, Yundi, Fiedel, Noah, Sohl-Dickstein, Jascha
We introduce and study the problem of adversarial arithmetic, which provides a simple yet challenging testbed for language model alignment. This problem is comprised of arithmetic questions posed in natural language, with an arbitrary adversarial str
Externí odkaz:
http://arxiv.org/abs/2311.07587
Despite their success in many natural language tasks, solving math problems remains a significant challenge for large language models (LLMs). A large gap exists between LLMs' pass-at-one and pass-at-N performance in solving math problems, suggesting
Externí odkaz:
http://arxiv.org/abs/2310.10047
We propose a new approach to learned optimization where we represent the computation of an optimizer's update step using a neural network. The parameters of the optimizer are then learned by training on a set of optimization tasks with the objective
Externí odkaz:
http://arxiv.org/abs/2212.01055
Autor:
Metz, Luke, Harrison, James, Freeman, C. Daniel, Merchant, Amil, Beyer, Lucas, Bradbury, James, Agrawal, Naman, Poole, Ben, Mordatch, Igor, Roberts, Adam, Sohl-Dickstein, Jascha
While deep learning models have replaced hand-designed features across many domains, these models are still trained with hand-designed optimizers. In this work, we leverage the same scaling approach behind the success of deep learning to learn versat
Externí odkaz:
http://arxiv.org/abs/2211.09760
Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces
In recent years, impressive results have been achieved in robotic manipulation. While many efforts focus on generating collision-free reference signals, few allow safe contact between the robot bodies and the environment. However, in human's daily ma
Externí odkaz:
http://arxiv.org/abs/2211.08199
Autor:
Metz, Luke, Freeman, C. Daniel, Harrison, James, Maheswaranathan, Niru, Sohl-Dickstein, Jascha
Optimization plays a costly and crucial role in developing machine learning systems. In learned optimizers, the few hyperparameters of commonly used hand-designed optimizers, e.g. Adam or SGD, are replaced with flexible parametric functions. The para
Externí odkaz:
http://arxiv.org/abs/2203.11860