An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

4 March 2018

J. Zico Kolter

Papers citing "An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling"

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Title
Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection Sahan Dissanayaka Manjusri Wickramasinghe Pasindu Marasinghe 25 0 0 25 Oct 2024
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models Shuchen Meng Andi Chen Chihang Wang Mengyao Zheng Fangyu Wu Xupeng Chen Haowei Ni Panfeng Li 48 2 0 25 Oct 2024
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting Yuhua Liao Zetian Wang Peng Wei Qiangqiang Nie Zhenhua Zhang AI4TS 18 0 0 24 Oct 2024
Variational autoencoders stabilise TCN performance when classifying weakly labelled bioacoustics data Laia Garrobé Fonollosa Douglas Gillespie L. Stanković V. Stanković Luke Rendell 22 0 0 22 Oct 2024
Forecasting Company Fundamentals Felix Divo Eric Endress Kevin Endler Kristian Kersting D. Dhami AI4TS 20 0 0 21 Oct 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting L. Butera G. Felice Andrea Cini C. Alippi AI4TS 29 0 0 18 Oct 2024
ArrivalNet: Predicting City-wide Bus/Tram Arrival Time with Two-dimensional Temporal Variation Modeling Zirui Li Patrick Wolf Meng Wang AI4TS 21 0 0 17 Oct 2024
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series Ching Chang Chiao-Tung Chan Wei-Yao Wang Wen-Chih Peng Tien-Fu Chen AI4TS 22 0 0 16 Oct 2024
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning Rikuto Kotoge Zheng Chen Tasuku Kimura Yasuko Matsubara Takufumi Yanagisawa H. Kishima Yasushi Sakurai OOD SSL 29 1 0 15 Oct 2024
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations M. Germán-Morales A. J. Rivera-Rivas M. J. del Jesus Díaz C. J. Carmona AI4TS AI4CE 51 0 0 15 Oct 2024
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning H. Le Kien Do D. Nguyen Sunil Gupta Svetha Venkatesh 32 0 0 14 Oct 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization Chengtao Jian Kai Yang Yang Jiao AI4TS 29 3 0 09 Oct 2024
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification Xavier Mootoo Alan A. Díaz-Montiel Milad Lankarany Hina Tabassum AI4TS 30 0 0 08 Oct 2024
Predicting Fine-grained Behavioral and Psychological Symptoms of Dementia Based on Machine Learning and Smart Wearable Devices Benny Wei-Yun Hsu Yu-Ming Chen Yuan-Han Yang Vincent S. Tseng 16 0 0 08 Oct 2024
Array2BR: An End-to-End Noise-immune Binaural Audio Synthesis from Microphone-array Signals Cheng Chi Xiaoyu Li Andong Li Yuxuan Ke Xiaodong Li C. Zheng 23 0 0 08 Oct 2024
Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools Filippo A. Spinelli Pascal Egli Julian Nubert Fang Nan Thilo Bleumer Patrick Goegler Stephan Brockes Ferdinand Hofmann Marco Hutter 31 2 0 07 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 33 2 0 07 Oct 2024
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Pengcheng Jiang Cao Xiao Minhao Jiang Parminder Bhatia Taha A. Kass-Hout Jimeng Sun Jiawei Han RALM AI4MH 43 4 0 06 Oct 2024
S7: Selective and Simplified State Space Layers for Sequence Modeling Taylan Soydan Nikola Zubić Nico Messikommer Siddhartha Mishra Davide Scaramuzza 35 4 0 04 Oct 2024
Tuning Frequency Bias of State Space Models Annan Yu Dongwei Lyu S. H. Lim Michael W. Mahoney N. Benjamin Erichson 42 3 0 02 Oct 2024
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach Yubo Li R. Padman 54 2 0 02 Oct 2024
COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models Divyanshu Daiya Damon Conover Aniket Bera DiffM 36 0 0 30 Sep 2024
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification Jiseok Lee Brian Kenji Iwana AI4TS 26 0 0 30 Sep 2024
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts Dalin Qin Yehui Li Weiqi Chen Zhaoyang Zhu Qingsong Wen Liang Sun Pierre Pinson Yi Wang AI4TS 21 0 0 29 Sep 2024
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series Muyao Wang Wenchao Chen Zhibin Duan Bo Chen AI4TS DiffM 34 0 0 27 Sep 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns Shengsheng Lin Weiwei Lin Xinyi Hu Wentai Wu Ruichao Mo Haocheng Zhong AI4TS 30 14 0 27 Sep 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting Yuxin Jia Youfang Lin Jing Yu Shuo Wang Tianhao Liu Huaiyu Wan AI4TS 32 1 0 26 Sep 2024
Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspace Jun Xiang Jun Chen 21 1 0 25 Sep 2024
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series Hrishikesh Patel Ruihong Qiu Adam Irwin Shazia Sadiq Sen Wang AI4TS 30 1 0 25 Sep 2024
SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with Mamba Xiangning Zhang Jinnan Chen Qingwei Zhang Chengfeng Zhou Zhengjie Zhang XiaoBo Li Dahong Qian Mamba 22 0 0 18 Sep 2024
Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques Yubo Li Saba A. Al-Sayouri R. Padman 23 2 0 18 Sep 2024
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network Mohammad Wazed Ali Asif bin Mustafa Md. Aukerul Moin Shuvo Bernhard Sick 15 0 0 18 Sep 2024
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding Xiaobao Song Hao Wang Liwei Deng Yuxin He Wenming Cao Chi-Sing Leungc AI4TS 30 0 0 17 Sep 2024
Implicit Reasoning in Deep Time Series Forecasting Willa Potosnak Cristian Challu Mononito Goswami Michał Wiliński Nina Żukowska Artur Dubrawski ReLM AI4TS LRM 35 2 0 17 Sep 2024
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification Huanyu Zhang Yi-Fan Zhang Zhang Zhang Qingsong Wen L. Wang AI4TS 24 1 0 12 Sep 2024
VE: Modeling Multivariate Time Series Correlation with Variate Embedding Shangjiong Wang Zhihong Man Zhengwei Cao Jinchuan Zheng Zhikang Ge AI4TS 28 1 0 10 Sep 2024
Robotic Object Insertion with a Soft Wrist through Sim-to-Real Privileged Training Yuni Fuchioka C. C. Beltran-Hernandez Hai Nguyen Masashi Hamaya 32 0 0 30 Aug 2024
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey Qi Dong Rubing Huang Chenhui Cui Dave Towey Ling Zhou Jinyu Tian Jianzhou Wang AI4TS 21 1 0 29 Aug 2024
TCNFormer: Temporal Convolutional Network Former for Short-Term Wind Speed Forecasting Abid Hasan Zim Aquib Iqbal Asad Malik Zhicheng Dong Hanzhou Wu AI4TS 25 1 0 27 Aug 2024
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning Sakhinana Sagar Srinivas Chidaksh Ravuru Geethan Sannidhi Venkataramana Runkana AI4TS 30 0 0 26 Aug 2024
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology Sagar Srinivas Sakhinana Krishna Sai Sudhir Aripirala Shivam Gupta Venkataramana Runkana 27 0 0 22 Aug 2024
An Evaluation of Deep Learning Models for Stock Market Trend Prediction Gonzalo Lopez Gil Paul Duhamel-Sebline Andrew McCarren AIFin 23 0 0 22 Aug 2024
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning Sagar Srinivas Sakhinana Krishna Sai Sudhir Aripirala Shivam Gupta Venkataramana Runkana BDL AI4TS AI4CE 35 0 0 22 Aug 2024
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting Alireza Jafari Geoffrey Fox John B. Rundle A. Donnellan L. G. Ludwig AI4TS AI4CE 22 2 0 21 Aug 2024
Explainable Anomaly Detection: Counterfactual driven What-If Analysis Logan Cummins Alexander Sommers Sudip Mittal Shahram Rahimi Maria Seale Joseph Jaboure Thomas Arnold 17 1 0 21 Aug 2024
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana AI4TS 24 2 0 21 Aug 2024
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation Vipin Singh Tianheng Ling Teodor Chiaburu Felix Biessmann AI4CE 36 1 0 21 Aug 2024
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting Jiaheng Yin Zhengxin Shi Jianshen Zhang Xiaomin Lin Yulin Huang Yongzhi Qi Wei Qi AI4TS 22 0 0 19 Aug 2024
Partial-Multivariate Model for Forecasting Jaehoon Lee Hankook Lee Sungik Choi Sungjun Cho Moontae Lee AI4TS 44 0 0 19 Aug 2024
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling Harry Jake Cunningham Giorgio Giannone Mingtian Zhang M. Deisenroth 28 0 0 18 Aug 2024