ICLR 2023

Poster

Evaluating Long-Term Memory in 3D Mazes
Jurgis Pašukonis · Timothy Lillicrap · Danijar Hafner

Poster

Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
Edward De Brouwer · Rahul G. Krishnan

Poster

Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Zeyu Tang · Yatong Chen · Yang Liu · Kun Zhang

Workshop

Stability of implicit neural networks for long-term forecasting in dynamical systems
Léon Migus · Julien Salomon · patrick gallinari

Workshop

Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
Eden Saig · Nir Rosenfeld

Poster

Mon 2:30

Equal Improvability: A New Fairness Notion Considering the Long-term Impact
Ozgur Guldogan · Yuchen Zeng · Jy-yong Sohn · Ramtin Pedarsani · Kangwook Lee

Poster

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie · Nam Nguyen · Phanwadee Sinthong · Jayant Kalagnanam

Poster

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Wanqi Xue · Qingpeng Cai · Ruohan Zhan · Dong Zheng · Peng Jiang · Kun Gai · Bo An

Poster

MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
Huiqiang Wang · Jian Peng · Feihu Huang · Jince Wang · Junhui Chen · Yifei Xiao

Workshop

Long-lead forecasts of wintertime air stagnation index in southern China using oceanic memory effects
Chenhong Zhou · Xiaorui Zhang · Meng Gao · Shanshan Liu · Yike Guo · Jie Chen

Poster

Wed 7:30

Short-Term Memory Convolutions
Grzegorz Stefański · Krzysztof Arendt · Paweł Daniluk · Bartłomiej Jasik · Artur Szumaczuk

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