Syama Sundar Rangapuram
12 papers · 2012–2025 · 3 venues · across top CS/AI venues
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Achievements
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Keyword Collector
(68)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Data Science & Analytics
(8)
Optimization & Theory
(7)
Deep Learning
(6)
Methods
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Architectures
(3)
Bayesian & Probabilistic
(3)
Mathematics & Optimization
(2)
Applications
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Keywords
time series forecasting
(5)
probabilistic forecasting
(4)
state space model
(3)
continuous optimization
(2)
graph partitioning
(2)
normalized cut
(2)
spectral clustering
(2)
recurrent neural network
(2)
probabilistic forecast
(2)
clustering optimization
(1)
pretraining
(1)
density estimation
(1)
gaussian process
(1)
time series
(1)
regularization
(1)
deep learning
(1)
quantile regression
(1)
hypergraph learning
(1)
graph clustering
(1)
hypergraphs
(1)
Papers
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025
Coherent Probabilistic Forecasting of Temporal Hierarchies
AISTATS 2023
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
ICML 2021
Neural Flows: Efficient Alternative to Neural ODEs
NeurIPS 2021
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
NeurIPS 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis
NeurIPS 2020
Probabilistic Forecasting with Spline Quantile Function RNNs
AISTATS 2019
Deep State Space Models for Time Series Forecasting
NeurIPS 2018
Tight Continuous Relaxation of the Balanced k-Cut Problem
NeurIPS 2014
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
NeurIPS 2013
Constrained 1-Spectral Clustering
AISTATS 2012