Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Chinchali, Sandeep P."'
Strategic coordination between autonomous agents and human partners under incomplete information can be modeled as turn-based cooperative games. We extend a turn-based game under incomplete information, the shared-control game, to allow players to ta
Externí odkaz:
http://arxiv.org/abs/2410.18242
Autor:
Chattopadhyay, Sameep, Paliwal, Pulkit, Narasimhan, Sai Shankar, Agarwal, Shubhankar, Chinchali, Sandeep P.
Time series forecasts are often influenced by exogenous contextual features in addition to their corresponding history. For example, in financial settings, it is hard to accurately predict a stock price without considering public sentiments and polic
Externí odkaz:
http://arxiv.org/abs/2410.12672
Autor:
Narasimhan, Sai Shankar, Agarwal, Shubhankar, Rout, Litu, Shakkottai, Sanjay, Chinchali, Sandeep P.
Generating realistic time series samples is crucial for stress-testing models and protecting user privacy by using synthetic data. In engineering and safety-critical applications, these samples must meet certain hard constraints that are domain-speci
Externí odkaz:
http://arxiv.org/abs/2410.12652
Multimodal encoders like CLIP excel in tasks such as zero-shot image classification and cross-modal retrieval. However, they require excessive training data. We propose canonical similarity analysis (CSA), which uses two unimodal encoders to replicat
Externí odkaz:
http://arxiv.org/abs/2410.07610
Image retrieval is crucial in robotics and computer vision, with downstream applications in robot place recognition and vision-based product recommendations. Modern retrieval systems face two key challenges: scalability and efficiency. State-of-the-a
Externí odkaz:
http://arxiv.org/abs/2410.07022
Autor:
Narayanan, Aditya, Kasibhatla, Pranav, Choi, Minkyu, Li, Po-han, Zhao, Ruihan, Chinchali, Sandeep
Networked robotic systems balance compute, power, and latency constraints in applications such as self-driving vehicles, drone swarms, and teleoperated surgery. A core problem in this domain is deciding when to offload a computationally expensive tas
Externí odkaz:
http://arxiv.org/abs/2409.06078
In reinforcement learning, conducting task composition by forming cohesive, executable sequences from multiple tasks remains challenging. However, the ability to (de)compose tasks is a linchpin in developing robotic systems capable of learning comple
Externí odkaz:
http://arxiv.org/abs/2408.13376
Autor:
Kapuria, Siddhartha, Bonyun, Jeff, Kulkarni, Yash, Ikoma, Naruhiko, Chinchali, Sandeep, Alambeigi, Farshid
In this paper, to collectively address the existing limitations on endoscopic diagnosis of Advanced Gastric Cancer (AGC) Tumors, for the first time, we propose (i) utilization and evaluation of our recently developed Vision-based Tactile Sensor (VTS)
Externí odkaz:
http://arxiv.org/abs/2408.01554
Reinforcement learning (RL) and model predictive control (MPC) each offer distinct advantages and limitations when applied to control problems in power and energy systems. Despite various studies on these methods, benchmarks remain lacking and the pr
Externí odkaz:
http://arxiv.org/abs/2407.15313
Advancements in DeepFake (DF) audio models pose a significant threat to voice authentication systems, leading to unauthorized access and the spread of misinformation. We introduce a defense mechanism, SecureSpectra, addressing DF threats by embedding
Externí odkaz:
http://arxiv.org/abs/2407.00913