cs.ET

Papers

• In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories (2020)
  Arman Kazemi et al.
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• Adaptive Merging on Phase Change Memory (2023)
  Wojciech Macyna and Michal Kukowski
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• From String Detection to Orthogonal Vector Problem (2022)
  Yunhao Wang et al.
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• Multi-Class Quantum Convolutional Neural Networks (2024)
  Marco Mordacci et al.
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• CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems (2025)
  Md Hasibul Amin et al.
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• HERP: Hardware for Energy Efficient and Realtime DB Search and Cluster Expansion in Proteomics (2025)
  Md Mizanur Rahaman Nayan et al.
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• Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators (2026)
  Rebecca Pelke et al.
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• Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units (2026)
  Manuel Escudero et al.
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• TimeSpot: Benchmarking Geo-Temporal Understanding in Vision-Language Models in Real-World Settings (2026)
  Azmine Toushik Wasi et al.
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• FliX: Flipped-Indexing for Scalable GPU Queries and Updates (2026)
  Rosina Kharal et al.
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• Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning (2026)
  Gino Kwun et al.
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• Cost-Effective Model Evaluation with Meta-Learning (2026)
  Trinh Pham et al.
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• DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation (2026)
  Tianyi Wang et al.
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• Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation (2026)
  Kordel K. France et al.
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• CMAP: Cross-Modal Adaptive Prompting for Multi-Domain Task-Incremental Learning (2026)
  Sriram Mandalika
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• Beyond the Data Mesh Illusion: Designing Modern AI-augmented Lakehouses to Bridge the Gap Between Theory and Practice (2026)
  Oliver Ang\'elil et al.
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• A Domain-Informed Multi-Objective Framework for EEG Channel Selection in Motor Imagery BCIs (2026)
  Dekka Muni Kumar et al.
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