Jayant Kalagnanam

6 papers at tracked venues · 3 at CORE A* · active 2024–2025

DBLP profile ↗ORCID search ↗

Venues

NeurIPS ×2 SDM ×2 AAAI ×1 UAI ×1

Frequent coauthors

Chandra Reddy

×3

Dzung T. Phan

×2

Dhaval Patel

×2

Vijay Ekambaram

×2

Arindam Jati

×2

Pankaj Dayama

×2

Matt Menickelly

×1

Tsuyoshi Idé

×1

Christodoulos Constantinides

×1

Shuxin Lin

×1

Claudio Guerrero

×1

Sunil Dagajirao Patil

×1

Papers

Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization
SDM 2025 ·
Dzung T. Phan
,
Matt Menickelly
,
Tsuyoshi Idé
, Jayant Kalagnanam
FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
NeurIPS 2025 ·
Christodoulos Constantinides
,
Dhaval Patel
,
Shuxin Lin
,
Claudio Guerrero
,
Sunil Dagajirao Patil
, Jayant Kalagnanam
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
AAAI 2024 ·
Santosh Palaskar
,
Vijay Ekambaram
,
Arindam Jati
,
Neelamadhav Gantayat
,
Avirup Saha
,
Seema Nagar
,
Nam H. Nguyen
,
Pankaj Dayama
,
Renuka Sindhgatta
,
Prateeti Mohapatra
,
Harshit Kumar
, Jayant Kalagnanam,
Nandyala Hemachandra
,
Narayan Rangaraj
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
UAI 2024 ·
Natalia Martinez Gil
,
Dhaval Patel
,
Chandra Reddy
,
Giridhar Ganapavarapu
,
Roman Vaculín
, Jayant Kalagnanam
Multi-polytope Machine for Classification
SDM 2024 ·
Dzung T. Phan
,
Lam M. Nguyen
, Jayant Kalagnanam,
Chandra Reddy
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
NeurIPS 2024 ·
Vijay Ekambaram
,
Arindam Jati
,
Pankaj Dayama
,
Sumanta Mukherjee
,
Nam Nguyen
,
Wesley M. Gifford
,
Chandra Reddy
, Jayant Kalagnanam