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08/10/2023
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
Channel modelling is essential to designing modern wireless communicatio...
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07/18/2023
Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning
In this work, we propose a method to create domain-sensitive speech reco...
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06/01/2023
Image generation with shortest path diffusion
The field of image generation has made significant progress thanks to th...
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04/13/2022
Flexible Multiple-Objective Reinforcement Learning for Chip Placement
Recently, successful applications of reinforcement learning to chip plac...
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02/08/2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
Kernel-based models such as kernel ridge regression and Gaussian process...
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09/13/2021
Uniform Generalization Bounds for Overparameterized Neural Networks
An interesting observation in artificial neural networks is their favora...
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08/20/2021
Optimal Order Simple Regret for Gaussian Process Bandits
Consider the sequential optimization of a continuous, possibly non-conve...
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05/21/2021
Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging
In a dialogue system pipeline, a natural language generation (NLG) unit ...
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03/15/2021
How to distribute data across tasks for meta-learning?
Meta-learning models transfer the knowledge acquired from previous tasks...
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03/08/2021
Meta-Learning with MAML on Trees
In meta-learning, the knowledge learned from previous tasks is transferr...
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12/11/2020