:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wolff, Malcolm, Olivares, Kin G., Oreshkin, Boris, Ruan, Sunny, Yang, Sitan, Katoch, Abhinav, Ramasubramanian, Shankar, Zhang, Youxin, Mahoney, Michael W., Efimov, Dmitry, Quenneville-Bélair, Vincent
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2411.05852
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPADE-S: A Sparsity-Robust Foundational Forecaster
by: Wolff, Malcolm, et al.
Published: (2025)

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting
by: Zhao, Zhiyuan, et al.
Published: (2025)

A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
by: Olivares, Kin G., et al.
Published: (2025)

Forking-Sequences
by: Potosnak, Willa, et al.
Published: (2025)

Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables
by: Potapczynski, Andres, et al.
Published: (2026)

Zero-shot Forecasting by Simulation Alone
by: Oreshkin, Boris N., et al.
Published: (2026)

Coport: A New Public Code for Polarized Radiative Transfer in a Covariant Framework$^\spadesuit$
by: Huang, Jiewei, et al.
Published: (2024)

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data
by: Zhang, Hanyu, et al.
Published: (2024)

Probabilistic Pretraining for Neural Regression
by: Oreshkin, Boris N., et al.
Published: (2025)

Convergence of Discrete Percolation Models to the Brownian Web Distance
by: Belair, Craig
Published: (2025)

On efficiency of double ionization of a three-electron atom in moderate laser field intensities
by: Efimov, Dmitry
Published: (2025)

Hafnian of two-parameter matrices
by: Efimov, Dmitry
Published: (2021)

Using Pre-trained LLMs for Multivariate Time Series Forecasting
by: Wolff, Malcolm L., et al.
Published: (2025)

SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines
by: Shankar, Shreya, et al.
Published: (2024)

MODL: Multilearner Online Deep Learning
by: Valkanas, Antonios, et al.
Published: (2024)

Contents of Ag, Bi, In, and Tl in suspended and aerosol matter at Station DM8-579 in the Peru Basin, Southeast Pacific
by: Oreshkin, Valentin N
Published: (1992)

(Table 2b) Contents of Ag, Bi, In, and Tl in aerosol matter at Station DM8-579
by: Oreshkin, Valentin N
Published: (1992)

(Table 2a) Contents of Ag, Bi, In, and Tl in suspended matter at Station DM8-579
by: Oreshkin, Valentin N
Published: (1992)

ACF-Monotonicity Formula on RCD(0,N) Metric Measure Cones
by: Sitan, Lin
Published: (2025)

A note on Bernoulli type free boundary problem on collapsed RCD(K,N)-spaces
by: Lin, Sitan
Published: (2023)

Efficiently Generating Correlated Sample Paths from Multi-step Time Series Foundation Models
by: Baron, Ethan, et al.
Published: (2025)

Singular Asymptotics of SPADE in Quantum Source Discrimination
by: Kariya, Natsuki
Published: (2026)

Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting
by: Kasprzyk, Mateusz, et al.
Published: (2024)

Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
by: Smyl, Slawek, et al.
Published: (2024)

F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
by: Xu, Zexing, et al.
Published: (2024)

Extending QAOA-GPT to Higher-Order Quantum Optimization Problems
by: Sunny, Leanto, et al.
Published: (2025)

$\clubsuit$ CLOVER $\clubsuit$: Probabilistic Forecasting with Coherent Learning Objective Reparameterization
by: Olivares, Kin G., et al.
Published: (2023)

SPADE: Sparsity-Guided Debugging for Deep Neural Networks
by: Moakhar, Arshia Soltani, et al.
Published: (2023)

Online Posterior Sampling with a Diffusion Prior
by: Kveton, Branislav, et al.
Published: (2024)

Peak areas and heights for minerals of ODP Leg 113-696B (Table 1)
by: Lonsdale, Malcolm J
Published: (1990)

The asymptotics for the number of real roots of the Bernoulli polynomials
by: Efimov, A.
Published: (2006)

Runge-Lenz operator in the momentum space
by: Efimov, Sergei
Published: (2024)

SPADE: Structured Pruning and Adaptive Distillation for Efficient LLM-TTS
by: Nguyen, Tan Dat, et al.
Published: (2025)

SPADE: Faster Drug Discovery by Learning from Sparse Data
by: Nandakumar, Rahul, et al.
Published: (2026)

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
by: Zhang, Yitian, et al.
Published: (2025)

Polydifferential Lie bialgebras and graph complexes
by: Wolff, Vincent
Published: (2024)

Critical windows: non-asymptotic theory for feature emergence in diffusion models
by: Li, Marvin, et al.
Published: (2024)

Provably learning a multi-head attention layer
by: Chen, Sitan, et al.
Published: (2024)

Efficient Pauli channel estimation with logarithmic quantum memory
by: Chen, Sitan, et al.
Published: (2023)

Optimal Quantum State Testing Even with Limited Entanglement
by: Wadhwa, Chirag, et al.
Published: (2026)