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Workshop
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Graph Neural Networks for Connectivity Inference in Spatially Patterned Neural Responses
Taehoon Park · JuHyeon Kim · DongHee Kang · Kijung Yoon
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Workshop
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Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs
Timothy Kim · Tankut Can · Kamesh Krishnamurthy
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Poster
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Wed 14:00
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Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors
Wenhao Zhang · Ying Nian Wu · Si Wu
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Poster
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Thu 9:00
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Theoretically Provable Spiking Neural Networks
Shao-Qun Zhang · Zhi-Hua Zhou
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Poster
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Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
Xingsi Dong · Zilong Ji · Tianhao Chu · Tiejun Huang · Wenhao Zhang · Si Wu
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Poster
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Thu 14:00
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Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells
Tianhao Chu · Zilong Ji · Junfeng Zuo · Wenhao Zhang · Tiejun Huang · Yuanyuan Mi · Si Wu
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Poster
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Thu 14:00
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Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng · Olga Russakovsky
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Workshop
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Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
Sanghwan Kim · Lorenzo Noci · Antonio Orvieto · Thomas Hofmann
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Poster
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Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin · Vage Egiazarian · Lingxiao Li · Evgeny Burnaev
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Poster
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Wed 14:00
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Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
Jianchuan Ding · Bo Dong · Felix Heide · Yufei Ding · Yunduo Zhou · Baocai Yin · Xin Yang
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Poster
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Thu 14:00
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Repairing Neural Networks by Leaving the Right Past Behind
Ryutaro Tanno · Melanie F. Pradier · Aditya Nori · Yingzhen Li
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Poster
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Thu 9:00
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Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee · Till Richter · Mikhail Solonin · Ignacio Ibarra · Fabian Theis · Niki Kilbertus
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