Jayant Kalagnanam
10 papers · 2016–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (8) π Cross-Pollinator (14)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(24)
π§
Keyword Pioneer
π
Century Club
(10)
Conferences
AAAI (5)
NIPS (2)
ICLR (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
deep learning
(2)
multivariate time series
(2)
anomaly detection
(2)
time series forecasting
(2)
unsupervised learning
(2)
foundation model
(2)
mixed-integer programming
(2)
few-shot learning
(1)
semi-supervised learning
(1)
stochastic optimization
(1)
convex optimization
(1)
distributed optimization
(1)
time series
(1)
feature interaction
(1)
zero-shot learning
(1)
deep learning model
(1)
transfer learning
(1)
asynchronous optimization
(1)
alternating minimization
(1)
binary classification
(1)
Papers
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
AAAI 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
NIPS 2024
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
UAI 2024
AI Model Factory: Scaling AI for Industry 4.0 Applications
AAAI 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
ICLR 2023
Interpretable Clustering via Multi-Polytope Machines
AAAI 2022
AnomalyKiTS: Anomaly Detection Toolkit for Time Series
AAAI 2022
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
NIPS 2020
Delay-Adaptive Distributed Stochastic Optimization
AAAI 2020
Change Detection Using Directional Statistics
IJCAI 2016