arXiv Computer Science @arxiv_cs@qoto.org

Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling -- ORSUM 2021. (arXiv:2201.05156v1 [cs.IR]) http://arxiv.org/abs/2201.05156

Decompositional Quantum Graph Neural Network. (arXiv:2201.05158v1 [quant-ph]) http://arxiv.org/abs/2201.05158

Structured access to AI capabilities: an emerging paradigm for safe AI deployment. (arXiv:2201.05159v1 [cs.AI]) http://arxiv.org/abs/2201.05159

Jamming Attacks on Federated Learning in Wireless Networks. (arXiv:2201.05172v1 [cs.LG]) http://arxiv.org/abs/2201.05172

The Combinatorics of \textit{Salva Veritate} Principles. (arXiv:2201.05173v1 [cs.CL]) http://arxiv.org/abs/2201.05173

Neural Approaches to Conversational Information Retrieval. (arXiv:2201.05176v1 [cs.IR]) http://arxiv.org/abs/2201.05176

Making a (Counterfactual) Difference One Rationale at a Time. (arXiv:2201.05177v1 [cs.CL]) http://arxiv.org/abs/2201.05177

CurvingLoRa to Boost LoRa Network Capacity via Concurrent Transmission. (arXiv:2201.05179v1 [cs.NI]) http://arxiv.org/abs/2201.05179

Mean Field Model for an Advertising Competition in a Duopoly. (arXiv:2201.05182v1 [math.OC]) http://arxiv.org/abs/2201.05182

Achieving AI-enabled Robust End-to-End Quality of Experience over Radio Access Networks. (arXiv:2201.05184v1 [cs.NI]) http://arxiv.org/abs/2201.05184

Learning Without a Global Clock: Asynchronous Learning in a Physics-Driven Learning Network. (arXiv:2201.04626v1 [cond-mat.soft]) http://arxiv.org/abs/2201.04626

Generative time series models using Neural ODE in Variational Autoencoders. (arXiv:2201.04630v1 [cs.LG]) http://arxiv.org/abs/2201.04630

Early Diagnosis of Parkinsons Disease by Analyzing Magnetic Resonance Imaging Brain Scans and Patient Characteristics. (arXiv:2201.04631v1 [eess.IV]) http://arxiv.org/abs/2201.04631

The Concept of Criticality in AI Safety. (arXiv:2201.04632v1 [cs.HC]) http://arxiv.org/abs/2201.04632

Revelation of Task Difficulty in AI-aided Education. (arXiv:2201.04633v1 [cs.HC]) http://arxiv.org/abs/2201.04633

Consensus between Epistemic Agents is Difficult. (arXiv:2201.04642v1 [physics.soc-ph]) http://arxiv.org/abs/2201.04642

Grassmannian Shape Representations for Aerodynamic Applications. (arXiv:2201.04649v1 [cs.GR]) http://arxiv.org/abs/2201.04649

Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning. (arXiv:2201.04651v1 [cs.LG]) http://arxiv.org/abs/2201.04651

Real-Time Monitoring and Control of Water Networks. (arXiv:2201.04654v1 [eess.SY]) http://arxiv.org/abs/2201.04654

Beyond Cake Cutting: Allocating Homogeneous Divisible Goods. (arXiv:2201.04662v1 [cs.GT]) http://arxiv.org/abs/2201.04662