Saved in:
| Main Authors: | Bose, Shourya, Li, Yijiang, Van Sant, Amy, Zhang, Yu, Kim, Kibaek |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.14421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
by: Bose, Shourya, et al.
Published: (2024)
by: Bose, Shourya, et al.
Published: (2024)
Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
by: Li, Yijiang, et al.
Published: (2026)
by: Li, Yijiang, et al.
Published: (2026)
Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
by: Pasini, Massimiliano Lupo, et al.
Published: (2026)
by: Pasini, Massimiliano Lupo, et al.
Published: (2026)
FedSpaLLM: Federated Pruning of Large Language Models
by: Bai, Guangji, et al.
Published: (2024)
by: Bai, Guangji, et al.
Published: (2024)
LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning
by: Jin, Hongwei, et al.
Published: (2026)
by: Jin, Hongwei, et al.
Published: (2026)
LUMINA: Foundation Models for Topology Transferable ACOPF
by: Li, Yijiang, et al.
Published: (2026)
by: Li, Yijiang, et al.
Published: (2026)
Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
by: Bose, Shourya, et al.
Published: (2026)
by: Bose, Shourya, et al.
Published: (2026)
Towards Systematic Generalization for Power Grid Optimization Problems
by: Memon, Zeeshan, et al.
Published: (2026)
by: Memon, Zeeshan, et al.
Published: (2026)
FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
by: Li, Yijiang, et al.
Published: (2026)
by: Li, Yijiang, et al.
Published: (2026)
WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
by: Suri, Dhruv, et al.
Published: (2026)
by: Suri, Dhruv, et al.
Published: (2026)
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
by: Iakovidou, Charikleia, et al.
Published: (2024)
by: Iakovidou, Charikleia, et al.
Published: (2024)
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference
by: Mavromatis, Ioannis, et al.
Published: (2024)
by: Mavromatis, Ioannis, et al.
Published: (2024)
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study
by: Spencer, Robert, et al.
Published: (2024)
by: Spencer, Robert, et al.
Published: (2024)
Language Models Entangle Language and Culture
by: Jain, Shourya, et al.
Published: (2026)
by: Jain, Shourya, et al.
Published: (2026)
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning
by: Qiu, Yuyang, et al.
Published: (2025)
by: Qiu, Yuyang, et al.
Published: (2025)
Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations
by: Sánchez-Mompó, Adrián, et al.
Published: (2025)
by: Sánchez-Mompó, Adrián, et al.
Published: (2025)
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints
by: Zeng, Sihan, et al.
Published: (2024)
by: Zeng, Sihan, et al.
Published: (2024)
Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
by: Alizadeh, Negar, et al.
Published: (2024)
by: Alizadeh, Negar, et al.
Published: (2024)
On the Role of Depth in the Expressivity of RNNs
by: Lizaire, Maude, et al.
Published: (2026)
by: Lizaire, Maude, et al.
Published: (2026)
Mechanistic Interpretability of RNNs emulating Hidden Markov Models
by: Torre, Elia, et al.
Published: (2025)
by: Torre, Elia, et al.
Published: (2025)
Efficient Sparse Selective-Update RNNs for Long-Range Sequence Modeling
by: Yin, Bojian, et al.
Published: (2026)
by: Yin, Bojian, et al.
Published: (2026)
Memory Caching: RNNs with Growing Memory
by: Behrouz, Ali, et al.
Published: (2026)
by: Behrouz, Ali, et al.
Published: (2026)
Stochastic Two Points Method for Deep Model Zeroth-order Optimization
by: Pang, Yijiang, et al.
Published: (2024)
by: Pang, Yijiang, et al.
Published: (2024)
Hybrid Time-Domain Behavior Model Based on Neural Differential Equations and RNNs
by: Chang, Zenghui, et al.
Published: (2025)
by: Chang, Zenghui, et al.
Published: (2025)
Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models
by: Park, Young Jin, et al.
Published: (2025)
by: Park, Young Jin, et al.
Published: (2025)
Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
by: Schöne, Mark, et al.
Published: (2025)
by: Schöne, Mark, et al.
Published: (2025)
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
by: Van Nguyen, Anh, et al.
Published: (2025)
by: Van Nguyen, Anh, et al.
Published: (2025)
On the Optimizer Dependence of Neural Scaling Laws
by: Ramani, Vansh, et al.
Published: (2026)
by: Ramani, Vansh, et al.
Published: (2026)
Were RNNs All We Needed?
by: Feng, Leo, et al.
Published: (2024)
by: Feng, Leo, et al.
Published: (2024)
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
by: Sun, Li, et al.
Published: (2026)
by: Sun, Li, et al.
Published: (2026)
OmniArch: Building Foundation Model For Scientific Computing
by: Chen, Tianyu, et al.
Published: (2024)
by: Chen, Tianyu, et al.
Published: (2024)
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
by: Sun, Yu, et al.
Published: (2024)
by: Sun, Yu, et al.
Published: (2024)
A Tensor Decomposition Perspective on Second-order RNNs
by: Lizaire, Maude, et al.
Published: (2024)
by: Lizaire, Maude, et al.
Published: (2024)
Paradoxical noise preference in RNNs
by: Eckstein, Noah, et al.
Published: (2026)
by: Eckstein, Noah, et al.
Published: (2026)
Fixed-Point RNNs: Interpolating from Diagonal to Dense
by: Movahedi, Sajad, et al.
Published: (2025)
by: Movahedi, Sajad, et al.
Published: (2025)
Load Restoration in Islanded Microgrids: Formulation and Solution Strategies
by: Bose, Shourya, et al.
Published: (2021)
by: Bose, Shourya, et al.
Published: (2021)
DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings
by: Mishra, Aditya, et al.
Published: (2023)
by: Mishra, Aditya, et al.
Published: (2023)
ART: Adaptive Resampling-based Training for Imbalanced Classification
by: Basandrai, Arjun, et al.
Published: (2025)
by: Basandrai, Arjun, et al.
Published: (2025)
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA
by: Kumar, Syamantak, et al.
Published: (2025)
by: Kumar, Syamantak, et al.
Published: (2025)
Pessimistic Iterative Planning with RNNs for Robust POMDPs
by: Galesloot, Maris F. L., et al.
Published: (2024)
by: Galesloot, Maris F. L., et al.
Published: (2024)
Similar Items
-
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
by: Bose, Shourya, et al.
Published: (2024) -
Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
by: Li, Yijiang, et al.
Published: (2026) -
Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
by: Pasini, Massimiliano Lupo, et al.
Published: (2026) -
FedSpaLLM: Federated Pruning of Large Language Models
by: Bai, Guangji, et al.
Published: (2024) -
LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning
by: Jin, Hongwei, et al.
Published: (2026)