Search Results - "Kamthe, Sanket"

Interaction primitives for human-robot cooperation tasks by Ben Amor, Heni, Neumann, Gerhard, Kamthe, Sanket, Kroemer, Oliver, Peters, Jan

“…To engage in cooperative activities with human partners, robots have to possess basic interactive abilities and skills. However, programming such interactive…”
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Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning by Eloul, Shaltiel, Silavong, Fran, Kamthe, Sanket, Georgiadis, Antonios, Moran, Sean J.

“…Federated learning reduces the risk of information leakage, but remains vulnerable to attack. We show that well-mixed gradients provide numerical resistance to…”
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Multi-modal filtering for non-linear estimation by Kamthe, Sanket, Peters, Jan, Deisenroth, Marc Peter

“…Multi-modal densities appear frequently in time series and practical applications. However, they are not well represented by common state estimators, such as…”
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Copula Flows for Synthetic Data Generation by Kamthe, Sanket, Assefa, Samuel, Deisenroth, Marc

“…The ability to generate high-fidelity synthetic data is crucial when available (real) data is limited or where privacy and data protection standards allow only…”
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Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control by Kamthe, Sanket, Deisenroth, Marc Peter

“…Trial-and-error based reinforcement learning (RL) has seen rapid advancements in recent times, especially with the advent of deep neural networks. However, the…”
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Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies by Eloul, Shaltiel, Silavong, Fran, Kamthe, Sanket, Georgiadis, Antonios, Moran, Sean J

“…Federated learning reduces the risk of information leakage, but remains vulnerable to attacks. We investigate how several neural network design decisions can…”
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Optimal Threshold Scheduler for Cellular Networks by Kamthe, Sanket, Gopinath, Smriti

“…The conventional wireless schedulers of Unicast and Multicast either fulfill multiuser diversity or broadcast gain, but not both together. To achieve optimal…”
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Multi-modal filtering for non-linear estimation by Kamthe, Sanket, Peters, Jan, Deisenroth, Marc P

“…Multi-modal densities appear frequently in time series and practical applications. However, they cannot be represented by common state estimators, such as the…”
Get full text