Zobrazeno 1 - 10
of 90 112
pro vyhledávání: '"and Mittal, A."'
Autor:
Rector-Brooks, Jarrid, Hasan, Mohsin, Peng, Zhangzhi, Quinn, Zachary, Liu, Chenghao, Mittal, Sarthak, Dziri, Nouha, Bronstein, Michael, Bengio, Yoshua, Chatterjee, Pranam, Tong, Alexander, Bose, Avishek Joey
Generative modeling of discrete data underlies important applications spanning text-based agents like ChatGPT to the design of the very building blocks of life in protein sequences. However, application domains need to exert control over the generate
Externí odkaz:
http://arxiv.org/abs/2410.08134
The spatio-temporal complexity of video data presents significant challenges in tasks such as compression, generation, and inpainting. We present four key contributions to address the challenges of spatiotemporal video processing. First, we introduce
Externí odkaz:
http://arxiv.org/abs/2410.07659
Data curation is the problem of how to collect and organize samples into a dataset that supports efficient learning. Despite the centrality of the task, little work has been devoted towards a large-scale, systematic comparison of various curation met
Externí odkaz:
http://arxiv.org/abs/2410.05057
This paper proposes a hybrid quantum neural network (HQNN) for indoor user localization using received signal strength indicator (RSSI) values. We use publicly available RSSI datasets for indoor localization using WiFi, Bluetooth, and Zigbee to test
Externí odkaz:
http://arxiv.org/abs/2410.00708
Autor:
Jangra, Divya, De, Binoy Krishna, Sharma, Pragati, Chakraborty, Koushik, Parate, Shubham, Yogi, Arvind Kumar, Mittal, Ranjan, Gupta, Mayanak K, Nukala, Pavan, Velpula, Praveen Kumar, Sathe, Vasant G.
The anisotropic light-matter interactions in 2D materials have garnered significant attention for their potential to develop futuristic polarization-based optoelectronic devices, such as photodetectors and photo-actuators. In this study, we investiga
Externí odkaz:
http://arxiv.org/abs/2409.17570
Combining manipulation with the mobility of legged robots is essential for a wide range of robotic applications. However, integrating an arm with a mobile base significantly increases the system's complexity, making precise end-effector control chall
Externí odkaz:
http://arxiv.org/abs/2409.16048
Recent advancements in Artificial Intelligence have led to remarkable improvements in generating realistic human faces. While these advancements demonstrate significant progress in generative models, they also raise concerns about the potential misus
Externí odkaz:
http://arxiv.org/abs/2409.15498
Topic modeling is a widely used technique for uncovering thematic structures from large text corpora. However, most topic modeling approaches e.g. Latent Dirichlet Allocation (LDA) struggle to capture nuanced semantics and contextual understanding re
Externí odkaz:
http://arxiv.org/abs/2409.15626
Sequential models like recurrent neural networks and transformers have become standard for probabilistic multivariate time series forecasting across various domains. Despite their strengths, they struggle with capturing high-dimensional distributions
Externí odkaz:
http://arxiv.org/abs/2409.11684
The recent advancements in artificial intelligence (AI), with the release of several large models having only query access, make a strong case for explainability of deep models in a post-hoc gradient free manner. In this paper, we propose a framework
Externí odkaz:
http://arxiv.org/abs/2409.11123