Saved in:
| Main Authors: | Jary, Calvin, Kahani, Nafiseh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.00306 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NextLocLLM: Location Semantics Modeling and Coordinate-Based Next Location Prediction with LLMs
by: Liu, Shuai, et al.
Published: (2024)
by: Liu, Shuai, et al.
Published: (2024)
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
by: Kammerlander, Calvin, et al.
Published: (2025)
by: Kammerlander, Calvin, et al.
Published: (2025)
Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique
by: Chattopadhyay, Anindita, et al.
Published: (2025)
by: Chattopadhyay, Anindita, et al.
Published: (2025)
Understanding Defects in Generated Codes by Language Models
by: Esfahani, Ali Mohammadi, et al.
Published: (2024)
by: Esfahani, Ali Mohammadi, et al.
Published: (2024)
Explainable Machine Learning for ICU Readmission Prediction
by: de Sá, Alex G. C., et al.
Published: (2023)
by: de Sá, Alex G. C., et al.
Published: (2023)
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction
by: Sajadi, Nafiseh Sadat, et al.
Published: (2026)
by: Sajadi, Nafiseh Sadat, et al.
Published: (2026)
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
by: Dwivedi, Vijay Prakash, et al.
Published: (2025)
by: Dwivedi, Vijay Prakash, et al.
Published: (2025)
Communication Efficient Split Learning of ViTs with Attention-based Double Compression
by: Alvetreti, Federico, et al.
Published: (2025)
by: Alvetreti, Federico, et al.
Published: (2025)
A Novel Approach To Implementing Knowledge Distillation In Tsetlin Machines
by: Kinateder, Calvin
Published: (2025)
by: Kinateder, Calvin
Published: (2025)
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
by: Newaz, Asif, et al.
Published: (2023)
by: Newaz, Asif, et al.
Published: (2023)
Disentangled Double Machine Learning for Accurate Causal Effect Estimation
by: Xiang, Guodu, et al.
Published: (2026)
by: Xiang, Guodu, et al.
Published: (2026)
Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence
by: Khokhar, Pir Bakhsh, et al.
Published: (2025)
by: Khokhar, Pir Bakhsh, et al.
Published: (2025)
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
by: Islam, Md Shazid, et al.
Published: (2024)
by: Islam, Md Shazid, et al.
Published: (2024)
Conditional computation in neural networks: principles and research trends
by: Scardapane, Simone, et al.
Published: (2024)
by: Scardapane, Simone, et al.
Published: (2024)
Accurate and Efficient Prediction of Wi-Fi Link Quality Based on Machine Learning
by: Formis, Gabriele, et al.
Published: (2025)
by: Formis, Gabriele, et al.
Published: (2025)
Physics in Next-token Prediction
by: An, Hongjun, et al.
Published: (2024)
by: An, Hongjun, et al.
Published: (2024)
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
by: Du, Zhekai, et al.
Published: (2025)
by: Du, Zhekai, et al.
Published: (2025)
Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)
by: Nabiev, Timur, et al.
Published: (2026)
Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
by: Medeiros, Heitor R., et al.
Published: (2025)
by: Medeiros, Heitor R., et al.
Published: (2025)
Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective
by: Gagnon, Leo, et al.
Published: (2025)
by: Gagnon, Leo, et al.
Published: (2025)
Accurate AI-Driven Emergency Vehicle Location Tracking in Healthcare ITS Digital Twin
by: Al-Shareeda, Sarah, et al.
Published: (2025)
by: Al-Shareeda, Sarah, et al.
Published: (2025)
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
by: Mandi, Jayanta, et al.
Published: (2025)
by: Mandi, Jayanta, et al.
Published: (2025)
Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations
by: Salis, Matteo, et al.
Published: (2026)
by: Salis, Matteo, et al.
Published: (2026)
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
by: Feng, Jie, et al.
Published: (2024)
by: Feng, Jie, et al.
Published: (2024)
A Privacy-Preserving Cloud Architecture for Distributed Machine Learning at Scale
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)
A Privacy by Design Framework for Large Language Model-Based Applications for Children
by: Addae, Diana, et al.
Published: (2026)
by: Addae, Diana, et al.
Published: (2026)
Provable Long-Range Benefits of Next-Token Prediction
by: Cao, Xinyuan, et al.
Published: (2025)
by: Cao, Xinyuan, et al.
Published: (2025)
Next Embedding Prediction Makes World Models Stronger
by: Bredis, George, et al.
Published: (2026)
by: Bredis, George, et al.
Published: (2026)
Quick and Accurate Affordance Learning
by: Scholz, Fedor, et al.
Published: (2024)
by: Scholz, Fedor, et al.
Published: (2024)
Predicting Tennis Serve directions with Machine Learning
by: Zhu, Ying, et al.
Published: (2026)
by: Zhu, Ying, et al.
Published: (2026)
Understanding Prediction Discrepancies in Machine Learning Classifiers
by: Renard, Xavier, et al.
Published: (2021)
by: Renard, Xavier, et al.
Published: (2021)
Cautious Next Token Prediction
by: Wang, Yizhou, et al.
Published: (2025)
by: Wang, Yizhou, et al.
Published: (2025)
Projected Hessian Learning: Fast Curvature Supervision for Accurate Machine-Learning Interatomic Potentials
by: Rodriguez, Austin, et al.
Published: (2026)
by: Rodriguez, Austin, et al.
Published: (2026)
Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training
by: Papageorgiou, Yiannis, et al.
Published: (2026)
by: Papageorgiou, Yiannis, et al.
Published: (2026)
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
by: Shah, Jay, et al.
Published: (2024)
by: Shah, Jay, et al.
Published: (2024)
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
by: Kobayashi, Kazuma, et al.
Published: (2024)
by: Kobayashi, Kazuma, et al.
Published: (2024)
SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures
by: Hartman, Max, et al.
Published: (2025)
by: Hartman, Max, et al.
Published: (2025)
Leveraging Taxonomy Similarity for Next Activity Prediction in Patient Treatment
by: Kuhn, Martin, et al.
Published: (2025)
by: Kuhn, Martin, et al.
Published: (2025)
AI and Machine Learning for Next Generation Science Assessments
by: Zhai, Xiaoming
Published: (2024)
by: Zhai, Xiaoming
Published: (2024)
Bank Loan Prediction Using Machine Learning Techniques
by: Haque, F M Ahosanul, et al.
Published: (2024)
by: Haque, F M Ahosanul, et al.
Published: (2024)
Similar Items
-
NextLocLLM: Location Semantics Modeling and Coordinate-Based Next Location Prediction with LLMs
by: Liu, Shuai, et al.
Published: (2024) -
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
by: Kammerlander, Calvin, et al.
Published: (2025) -
Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique
by: Chattopadhyay, Anindita, et al.
Published: (2025) -
Understanding Defects in Generated Codes by Language Models
by: Esfahani, Ali Mohammadi, et al.
Published: (2024) -
Explainable Machine Learning for ICU Readmission Prediction
by: de Sá, Alex G. C., et al.
Published: (2023)