:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Singh, Priyanshi, Bhatia, Krishna
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.05468
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sustainable NARMA-10 Benchmarking for Quantum Reservoir Computing
by: Kodali, Avyay, et al.
Published: (2025)

Enhancing Quantum Federated Learning with Fisher Information-Based Optimization
by: Bhatia, Amandeep Singh, et al.
Published: (2025)

Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
by: Bhatia, Amandeep Singh, et al.
Published: (2024)

Deep Continuous-Time State-Space Models for Marked Event Sequences
by: Chang, Yuxin, et al.
Published: (2024)

Capacity-Constrained Continual Learning
by: Wen, Zheng, et al.
Published: (2025)

Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery
by: Jain, Prateek, et al.
Published: (2022)

Quantum AI for Cancer Diagnostic Biomarker Discovery
by: Saggi, Mandeep Kaur, et al.
Published: (2026)

COLA: Continual Learning via Autoencoder Retrieval of Adapters
by: Mandivarapu, Jaya Krishna
Published: (2025)

Sequence-Model-Guided Measurement Selection for Quantum State Learning
by: Huang, Jiaxin, et al.
Published: (2025)

Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions
by: Chaki, Sayan Kumar
Published: (2026)

Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling
by: Wang, Andrew, et al.
Published: (2026)

Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification
by: Saggi, Mandeep Kaur, et al.
Published: (2024)

Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation
by: Raj, Naipunnya, et al.
Published: (2025)

Constrained Stein Variational Trajectory Optimization
by: Power, Thomas, et al.
Published: (2023)

Continual Learning as Computationally Constrained Reinforcement Learning
by: Kumar, Saurabh, et al.
Published: (2023)

Recasting Continual Learning as Sequence Modeling
by: Lee, Soochan, et al.
Published: (2023)

On Learning for Ambiguous Chance Constrained Problems
by: Madhusudanarao, A Ch, et al.
Published: (2023)

Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction
by: Fertig, Alexander, et al.
Published: (2025)

Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
by: Singh, Navneet, et al.
Published: (2025)

Adaptive Intrusion Detection System Leveraging Dynamic Neural Models with Adversarial Learning for 5G/6G Networks
by: Neha, et al.
Published: (2025)

Sequencing to Mitigate Catastrophic Forgetting in Continual Learning
by: Moussa, Hesham G., et al.
Published: (2025)

A Survey of Classical And Quantum Sequence Models
by: Chen, I-Chi, et al.
Published: (2023)

MEL: Multi-level Ensemble Learning for Resource-Constrained Environments
by: Gudipaty, Krishna Praneet, et al.
Published: (2025)

Machine Learnability as a Measure of Order in Aperiodic Sequences
by: Dodgson, Jennifer, et al.
Published: (2025)

Resource-Constrained Federated Continual Learning: What Does Matter?
by: Li, Yichen, et al.
Published: (2025)

Active Timepoint Selection for Learning Measure-Valued Trajectories
by: Huynh, Nicolas, et al.
Published: (2026)

TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning
by: Fan, Shicheng, et al.
Published: (2026)

Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay
by: Chen, Feng, et al.
Published: (2024)

Actively Inferring Optimal Measurement Sequences
by: Higham, Catherine F., et al.
Published: (2025)

Controllable Sequence Editing for Biological and Clinical Trajectories
by: Li, Michelle M., et al.
Published: (2025)

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design
by: Sisk, Samuel, et al.
Published: (2025)

Encoding Agent Trajectories as Representations with Sequence Transformers
by: Tsiligkaridis, Athanasios, et al.
Published: (2024)

Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
by: Tzannetos, Georgios, et al.
Published: (2025)

Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation
by: Yashwanth, M, et al.
Published: (2026)

Lowering PyTorch's Memory Consumption for Selective Differentiation
by: Bhatia, Samarth, et al.
Published: (2024)

TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction
by: Zeng, Sihang, et al.
Published: (2025)

Probabilistic Modeling for Sequences of Sets in Continuous-Time
by: Chang, Yuxin, et al.
Published: (2023)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
by: Zhu, Yuanshao, et al.
Published: (2024)

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
by: Bhirangi, Raunaq, et al.
Published: (2024)