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Poster
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Tue 7:00 |
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steve Li, Benjamin M Marlin |
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Poster
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Tue 7:00 |
Improving the Gating Mechanism of Recurrent Neural Networks Albert Gu, Caglar Gulcehre, Thomas Paine, Matthew Hoffman, Razvan Pascanu |
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Poster
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Tue 8:00 |
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing Lakshay Chauhan, John Alberg, Zachary Lipton |
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Poster
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Tue 8:00 |
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM Kunal Menda, Jean de Becdelievre, Jayesh Gupta, Ilan Kroo, Mykel Kochenderfer, Zachary Manchester |
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Poster
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Tue 9:00 |
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin Vechev |
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Poster
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Tue 9:00 |
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates Xiaochen Wang, Arash Pakbin, Bobak Mortazavi, Hongyu Zhao, Donald Lee |
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Poster
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Tue 9:00 |
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods Wei Zhang, Thomas Panum, Somesh Jha, PRASAD Chalasani, David Page |
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Poster
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Tue 10:00 |
How recurrent networks implement contextual processing in sentiment analysis Niru Maheswaranathan, David Sussillo |
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Poster
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Tue 10:00 |
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Wilson |
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Poster
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Tue 12:00 |
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Zhitao Ying, Jure Leskovec, Peter Battaglia |
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Poster
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Tue 13:00 |
Temporal Logic Point Processes Shuang Li, Lu Wang, Ruizhi Zhang, xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song |
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Poster
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Tue 18:00 |
Learning with Feature and Distribution Evolvable Streams Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou |
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Poster
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Wed 5:00 |
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto, Francis Song, Jack Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell |
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Poster
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Wed 5:00 |
On Learning Language-Invariant Representations for Universal Machine Translation Han Zhao, Junjie Hu, Andrej Risteski |
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Poster
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Wed 5:00 |
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy |
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Poster
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Wed 5:00 |
Learnable Group Transform For Time-Series Romain Cosentino, Behnaam Aazhang |
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Poster
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Wed 8:00 |
A general recurrent state space framework for modeling neural dynamics during decision-making David Zoltowski, Jonathan Pillow, Scott Linderman |
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Poster
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Wed 8:00 |
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network Javier Turek, Shailee Jain, Vy Vo, Mihai Capotă, Alexander Huth, Theodore Willke |
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Poster
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Wed 9:00 |
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations Robert Mattila, Cristian R. Rojas, Eric Moulines, Vikram Krishnamurthy, Bo Wahlberg |
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Poster
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Wed 9:00 |
Set Functions for Time Series Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten Borgwardt |
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Poster
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Wed 10:00 |
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health Liangyu Zhu, Wenbin Lu, Rui Song |
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Poster
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Wed 12:00 |
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch, Hisham Husain, Tom Diethe |
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Poster
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Wed 12:00 |
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time Zahra Monfared, Daniel Durstewitz |
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Poster
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Wed 13:00 |
Self-Attentive Hawkes Process Qiang Zhang, Aldo Lipani, Omer Kirnap, Emine Yilmaz |
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Poster
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Wed 13:00 |
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Csaba Toth, Harald Oberhauser |
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Poster
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Thu 6:00 |
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner |
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Poster
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Thu 6:00 |
Do RNN and LSTM have Long Memory? Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian |
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Poster
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Thu 8:00 |
Cost-Effective Interactive Attention Learning with Neural Attention Processes Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang |
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Poster
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Thu 8:00 |
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong, Bryan Seybold, Kevin Murphy, Hung Bui |
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Poster
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Thu 9:00 |
Video Prediction via Example Guidance Jingwei Xu, Harry (Huazhe) Xu, Bingbing Ni, Xiaokang Yang, Prof. Darrell |
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Poster
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Thu 13:00 |
The Boomerang Sampler Joris Bierkens, Sebastiano Grazzi, Kengo Kamatani, Gareth Roberts |
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Poster
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Thu 13:00 |
Stochastic Differential Equations with Variational Wishart Diffusions Martin Jørgensen, Marc Deisenroth, Hugh Salimbeni |
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Poster
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Thu 13:00 |
Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD) Fabian Hinder, André Artelt, CITEC Barbara Hammer |
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Poster
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Thu 14:00 |
Forecasting Sequential Data Using Consistent Koopman Autoencoders Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael Mahoney |
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Poster
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Thu 14:00 |
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase Jan Graßhoff, Alexandra Jankowski, Philipp Rostalski |
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Poster
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Thu 17:00 |
Transformer Hawkes Process Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha |