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Workshop
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Fri 9:00
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SEIFER: Scalable Edge Inference for Deep Neural Networks
Arjun Parthasarathy · Bhaskar Krishnamachari
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Poster
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Thu 14:00
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Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal
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Workshop
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Urban Heat Island Detection and Causal Inference Using Convolutional Neural Networks
Zachary D Calhoun · Ziyang Jiang · Mike Bergin · David Carlson
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Workshop
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Variational Graph Auto-Encoders for Heterogeneous Information Network
Abhishek Dalvi · Ayan Acharya · Jing Gao · Vasant Honavar
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Expo Demonstration
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Mon 8:00
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Software-Delivered AI: Using Sparse-Quantization for Fastest Inference on Deep Neural Networks
Mark J Kurtz
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Poster
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Wed 9:00
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CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Ran Ran · Wei Wang · Quan Gang · Jieming Yin · Nuo Xu · Wujie Wen
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Poster
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Tue 14:00
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ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences
Ting-An Chen · De-Nian Yang · Ming-syan Chen
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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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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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Poster
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Thu 9:00
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Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo · Mate Lengyel
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Poster
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Tue 9:00
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Cluster Randomized Designs for One-Sided Bipartite Experiments
Jennifer Brennan · Vahab Mirrokni · Jean Pouget-Abadie
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Poster
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On the relationship between variational inference and auto-associative memory
Louis Annabi · Alexandre Pitti · Mathias Quoy
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