Zobrazeno 1 - 10
of 11 260
pro vyhledávání: '"P. Vasudevan"'
Effective usage of approximate circuits for various performance trade-offs requires accurate computation of error. Several average and worst case error metrics have been proposed in the literature. We propose a framework for exact computation of thes
Externí odkaz:
http://arxiv.org/abs/2411.10037
Autor:
Harris, Sumner B., Fajardo, Ruth, Puretzky, Alexander A., Xiao, Kai, Bao, Feng, Vasudevan, Rama K.
The rapid validation of newly predicted materials through autonomous synthesis requires real-time adaptive control methods that exploit physics knowledge, a capability that is lacking in most systems. Here, we demonstrate an approach to enable the re
Externí odkaz:
http://arxiv.org/abs/2410.23895
Autor:
Kwon, Yongseok, Michaux, Jonathan, Isaacson, Seth, Zhang, Bohao, Ejakov, Matthew, Skinner, Katherine A., Vasudevan, Ram
Safe motion planning algorithms are necessary for deploying autonomous robots in unstructured environments. Motion plans must be safe to ensure that the robot does not harm humans or damage any nearby objects. Generating these motion plans in real-ti
Externí odkaz:
http://arxiv.org/abs/2410.09924
Autor:
Vasudevan, Ekamresh, Sridhara, Shashank N., Pavez, Eduardo, Ortega, Antonio, Singh, Raghavendra, Kalluri, Srinath
We present a novel method to correct flying pixels within data captured by Time-of-flight (ToF) sensors. Flying pixel (FP) artifacts occur when signals from foreground and background objects reach the same sensor pixel, leading to a confident yet inc
Externí odkaz:
http://arxiv.org/abs/2410.08084
The k-Tree algorithm [Wagner 02] is a non-trivial algorithm for the average-case k-SUM problem that has found widespread use in cryptanalysis. Its input consists of k lists, each containing n integers from a range of size m. Wagner's original heurist
Externí odkaz:
http://arxiv.org/abs/2410.06856
Autor:
Teng, Sangli, Iwasaki, Kaito, Clark, William, Yu, Xihang, Bloch, Anthony, Vasudevan, Ram, Ghaffari, Maani
This work generalizes the classical metriplectic formalism to model Hamiltonian systems with nonconservative dissipation. Classical metriplectic representations allow for the description of energy conservation and production of entropy via a suitable
Externí odkaz:
http://arxiv.org/abs/2410.06233
Autor:
Michaux, Jonathan, Isaacson, Seth, Adu, Challen Enninful, Li, Adam, Swayampakula, Rahul Kashyap, Ewen, Parker, Rice, Sean, Skinner, Katherine A., Vasudevan, Ram
Neural Radiance Fields and Gaussian Splatting have transformed the field of computer vision by enabling photo-realistic representation of complex scenes. Despite this success, they have seen only limited use in real-world robotics tasks such as traje
Externí odkaz:
http://arxiv.org/abs/2409.16915
Autor:
Biswas, Arpan, Vasudevan, Rama, Pant, Rohit, Takeuchi, Ichiro, Funakubo, Hiroshi, Liu, Yongtao
Both computational and experimental material discovery bring forth the challenge of exploring multidimensional and multimodal parameter spaces, such as phase diagrams of Hamiltonians with multiple interactions, composition spaces of combinatorial lib
Externí odkaz:
http://arxiv.org/abs/2409.12295
Autor:
Landon, Laura, Vasudevan, Vipindev Adat, Kim, Jaeweon, Sung, Junmo, Masters, Jeffery Tony, Médard, Muriel
This paper presents several methods for minimizing packet service time in networks using 5G and beyond. We propose leveraging network coding alongside Hybrid Automatic Repeat reQuest (HARQ) to reduce service time as well as optimizing Modulation and
Externí odkaz:
http://arxiv.org/abs/2409.02788
Autor:
Zhang, Bohao, Vasudevan, Ram
Performing trajectory design for humanoid robots with high degrees of freedom is computationally challenging. The trajectory design process also often involves carefully selecting various hyperparameters and requires a good initial guess which can fu
Externí odkaz:
http://arxiv.org/abs/2409.00303