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33rd ICANN 2024: Lugano, Switzerland - Part X
- Michael Wand
, Kristína Malinovská
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15025, Springer 2024, ISBN 978-3-031-72358-2
Workshop: AI in Drug Discovery
- Regina Pikalyova, Tagir Akhmetshin, Dragos Horvath, Alexandre Varnek:
Combinatorial Library Neural Network (CoLiNN) for Combinatorial Library Visualization Without Compound Enumeration. 3-14 - Maxim Shevelev
De Novo Drug Design - Do We Really Want to Be "Original"? - A Real-world Case Study on Colchicine-Site Tubulin Binders. 15-30 - Josef Berman
Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra Using Gradient Boosting. 31-42 - Justin Diamond, Markus A. Lill:
Neural SHAKE: Geometric Constraints in Graph Generative Models. 43-57 - Qianrong Guo, Saiveth Hernández-Hernández, Pedro J. Ballester:
Scaffold Splits Overestimate Virtual Screening Performance. 58-72 - Szymon Czaplak, Tomasz Fraczek
Target-Aware Drug Activity Model: A Deep Learning Approach to Virtual HTS. 73-87
Workshop: Reservoir Computing
- Peter Ford Dominey
Effects of Input Structure and Topology on Input-Driven Functional Connectivity Stability. 91-105 - Claudio Gallicchio
Non-dissipative Reservoir Computing Approaches for Time-Series Classification. 106-116 - Domenico Tortorella
Onion Echo State Networks - A Preliminary Analysis of Dynamics. 117-128 - Yuji Kawai
Oscillation-Driven Reservoir Computing for Long-Term Replication of Chaotic Time Series. 129-141 - Paul Bernard
Prediction of Reaching Movements with Target Information Towards Trans-humeral Prosthesis Control Using Reservoir Computing and LSTMs. 142-155 - Yuanyang Guo, Robin Degraeve, Philippe Roussel, Ben Kaczer, Erik Bury, Ingrid Verbauwhede:
Reducing Reservoir Dimensionality with Phase Space Construction for Simplified Hardware Implementation. 156-167 - Chester Wringe
Restricted Reservoirs on Heterogeneous Timescales. 168-183
Special Session: Accuracy, Stability, and Robustness in Deep Neural Networks
- Dazhong Rong
Clean-Image Backdoor Attacks. 187-202 - Yang Cao, Yinglin Wang:
MADE: A Universal Fine-Tuning Framework to Enhance Robustness of Machine Reading Comprehension. 203-219 - Michael Teichmann
Robustness of Biologically Grounded Neural Networks Against Image Perturbations. 220-230 - Vera Kurková
Some Comparisons of Linear and Deep ReLU Network Approximation. 231-240 - Yi Yu, Qichen Zheng, Siyuan Yang, Wenhan Yang, Jun Liu, Shijian Lu, Yap-Peng Tan, Kwok-Yan Lam, Alex C. Kot:
Unlearnable Examples Detection via Iterative Filtering. 241-256
Special Session: Neurorobotics
- Anastasia Ostapenko, Michal Vavrecka:
Action Recognition System Integrating Motion and Object Detection. 259-269 - Gabriel W. Haddon-Hill
Active Vision for Physical Robots Using the Free Energy Principle. 270-284 - Miroslav Cibula, Matthias Kerzel, Igor Farkas
Learning Low-Level Causal Relations Using a Simulated Robotic Arm. 285-298 - Michal Vavrecka, Jonas Kriz, Nikita Sokovnin, Gabriela Sejnova:
Modular Reinforcement Learning In Long-Horizon Manipulation Tasks. 299-312 - Kristína Malinovská
Robotic Model of the Mirror Neuron System: A Revival. 313-323 - Bulcsú Sándor, Claudius Gros:
Self-organized Attractoring in Locomoting Animals and Robots: An Emerging Field. 324-338
Special Session: Spiking Neural Networks
- Jun Niu, Zhaokun Zhou, Kaiwei Che, Li Yuan:
A Multi-modal Spiking Meta-learner with Brain-Inspired Task-Aware Modulation Scheme. 341-352 - Loïc Azzalini, Stefan Glüge, Jens Struckmeier, Yulia Sandamirskaya:
Event-Based Hand Detection on Neuromorphic Hardware Using a Sigma Delta Neural Network. 353-364 - Ankita Paul
Learning in Recurrent Spiking Neural Networks with Sparse Full-FORCE Training. 365-376 - Vittorio Fra
Natively Neuromorphic LMU Architecture for Encoding-Free SNN-Based HAR on Commercial Edge Devices. 377-391 - Jiahao Su
Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. 392-406 - Thomas Louis
On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks. 407-421 - Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Temporal Contrastive Learning for Spiking Neural Networks. 422-436
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