Generating Sequences With Recurrent Neural Networks

4 August 2013

Papers citing "Generating Sequences With Recurrent Neural Networks"

37 / 37 papers shown

Title
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Chen-Hao Chao Wei-Fang Sun Hanwen Liang Chun-Yi Lee Rahul G. Krishnan DiffM 256 0 0 24 May 2025
Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations Yuan Chen Abdul Khaliq Khaled M. Furati AI4CE 124 0 0 20 Feb 2025
STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing Jiaru Zou Qing Wang Pratyush Thakur Nickvash Kani LRM 107 2 0 01 Nov 2024
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts Zhenpeng Su Xing Wu Zijia Lin Yizhe Xiong Minxuan Lv Guangyuan Ma Hui Chen Songlin Hu Guiguang Ding MoE 49 4 0 21 Oct 2024
Decoupling Layout from Glyph in Online Chinese Handwriting Generation Min-Si Ren Yan-Ming Zhang Yi Chen 41 0 0 03 Oct 2024
Unconditional stability of a recurrent neural circuit implementing divisive normalization Shivang Rawat David J. Heeger Stefano Martiniani 110 1 0 27 Sep 2024
Learning from Demonstration with Implicit Nonlinear Dynamics Models Peter David Fagan Subramanian Ramamoorthy 328 0 0 27 Sep 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy Deshmukh 376 16 0 31 Aug 2024
Atlas Gaussians Diffusion for 3D Generation Haitao Yang Yuan Dong Hanwen Jiang Dejia Xu Georgios Pavlakos Qixing Huang 3DGS 102 3 0 23 Aug 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong Zepu Wang Yuqi Nie Tian Zhou Stefan Zohren Yuxuan Liang Peng Sun Qingsong Wen AI4TS 55 13 0 19 Aug 2024
Categorical Flow Matching on Statistical Manifolds Chaoran Cheng Jiahan Li Jian-wei Peng Ge Liu 81 10 0 26 May 2024
Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent Pingzhi Li Junyu Liu Hanrui Wang Tianlong Chen 132 1 0 30 Apr 2024
Temporal Scaling Law for Large Language Models Yizhe Xiong Xiansheng Chen Xin Ye Hui Chen Zijia Lin ... Zhenpeng Su Wei Huang Jianwei Niu Jiawei Han Guiguang Ding 67 10 0 27 Apr 2024
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation Jingmin Sun Yuxuan Liu Zecheng Zhang Hayden Schaeffer AI4CE 69 20 0 18 Apr 2024
Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen Anna Kuzina Babak Esmaeili Jakub M. Tomczak 62 0 0 09 Apr 2024
Large Language Models: A Survey Shervin Minaee Tomas Mikolov Narjes Nikzad M. Asgari-Chenaghlu R. Socher Xavier Amatriain Jianfeng Gao ALM LM&MA ELM 166 389 0 09 Feb 2024
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 56 17 0 11 Aug 2020
Deep generative models for musical audio synthesis M. Huzaifah L. Wyse 108 20 0 10 Jun 2020
Transformer Networks for Trajectory Forecasting Francesco Giuliari Irtiza Hasan Marco Cristani Fabio Galasso 148 379 0 18 Mar 2020
Quantum Optical Experiments Modeled by Long Short-Term Memory Thomas Adler Manuel Erhard Mario Krenn Johannes Brandstetter Johannes Kofler Sepp Hochreiter 54 9 0 30 Oct 2019
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 140 858 0 28 Nov 2017
Fast-Slow Recurrent Neural Networks Asier Mujika Florian Meier Angelika Steger 65 76 0 24 May 2017
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables L. Ambrogioni Umut Güçlü Marcel van Gerven E. Maris BDL 111 47 0 19 May 2017
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks Matthias Plappert Christian Mandery Tamim Asfour 3DH 91 131 0 18 May 2017
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions Kleomenis Katevas Ilias Leontiadis M. Pielot Joan Serrà HAI 42 12 0 17 May 2017
On human motion prediction using recurrent neural networks Julieta Martinez Michael J. Black Javier Romero 3DH 69 931 0 06 May 2017
Motion Prediction Under Multimodality with Conditional Stochastic Networks Katerina Fragkiadaki Jonathan Huang Alexander A. Alemi Sudheendra Vijayanarasimhan Susanna Ricco Rahul Sukthankar 3DH 53 26 0 05 May 2017
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network Sunil Kumar Sahu Ashish Anand 60 135 0 28 Jan 2017
Learn&Fuzz: Machine Learning for Input Fuzzing Patrice Godefroid Hila Peleg Rishabh Singh AAML 52 372 0 25 Jan 2017
Temporal Overdrive Recurrent Neural Network F. Bianchi Michael C. Kampffmeyer E. Maiorino Robert Jenssen AI4TS 111 9 0 18 Jan 2017
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks Marwin H. S. Segler T. Kogej C. Tyrchan M. Waller 77 97 0 05 Jan 2017
Learning Language-Visual Embedding for Movie Understanding with Natural-Language Atousa Torabi Niket Tandon Leonid Sigal 45 97 0 26 Sep 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 67 853 0 21 Sep 2016
Exploring the Limits of Language Modeling Rafal Jozefowicz Oriol Vinyals M. Schuster Noam M. Shazeer Yonghui Wu 120 1,143 0 07 Feb 2016
Sequence Transduction with Recurrent Neural Networks Alex Graves 140 1,858 0 14 Nov 2012
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models A. Mnih Yee Whye Teh 100 578 0 27 Jun 2012
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent 110 700 0 27 Jun 2012