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"Time": models, code, and papers
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Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory

Oct 02, 2021
Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti Salapaka

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Chunked Autoregressive GAN for Conditional Waveform Synthesis

Oct 19, 2021
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron Courville, Yoshua Bengio

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Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning

Nov 28, 2021
Dailin Hu, Pieter Abbeel, Roy Fox

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Construe: a software solution for the explanation-based interpretation of time series

Mar 17, 2020
Tomas Teijeiro, Paulo Felix

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Efficient and Local Parallel Random Walks

Dec 01, 2021
Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos

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Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation via Probabilistic Inference

Oct 31, 2020
Shuang Guo, Bo Liu, Shen Zhang, Jifeng Guo, Changhong Wang

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Stateful Offline Contextual Policy Evaluation and Learning

Oct 19, 2021
Nathan Kallus, Angela Zhou

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Time2Vec: Learning a Vector Representation of Time

Jul 11, 2019
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus Brubaker

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Scalable Deployment of AI Time-series Models for IoT

Mar 24, 2020
Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi

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ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization

Sep 23, 2021
Marco Gaudesi, Felix Weninger, Dushyant Sharma, Puming Zhan

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