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Harshit Kumar

6 papers at tracked venues · 6 at CORE A* · active 2024–2026

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Venues

AAAI ×2ICLR ×2ICML ×2

Frequent coauthors

Prateeti Mohapatra
×3
Biswadeep Chakraborty
×3
Saibal Mukhopadhyay
×3
Pranjal Gupta
×2
Seema Nagar
×2
Debanjana Kar
×2
Beomseok Kang
×2
Karan Bhukar
×1
Saurabh Jha
×1
Rohan R. Arora
×1
Yuji Watanabe
×1
Takumi Yanagawa
×1

Papers

  1. Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
    AAAI 2026 ·
    Pranjal Gupta
    ,
    Karan Bhukar
    , Harshit Kumar,
    Seema Nagar
    ,
    Prateeti Mohapatra
    ,
    Debanjana Kar
  2. A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
    ICML 2025 ·
    Biswadeep Chakraborty
    , Harshit Kumar,
    Saibal Mukhopadhyay
  3. Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
    ICLR 2025 · Harshit Kumar,
    Beomseok Kang
    ,
    Biswadeep Chakraborty
    ,
    Saibal Mukhopadhyay
  4. ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
    ICML 2025 ·
    Saurabh Jha
    ,
    Rohan R. Arora
    ,
    Yuji Watanabe
    ,
    Takumi Yanagawa
    ,
    Yinfang Chen
    ,
    Jackson Clark
    ,
    Bhavya
    ,
    Mudit Verma
    , Harshit Kumar,
    Hirokuni Kitahara
    ,
    Noah Zheutlin
    ,
    Saki Takano
    ,
    Divya Pathak
    ,
    Felix George
    ,
    Xinbo Wu
    ,
    Bekir O. Turkkan
    ,
    Gerard Vanloo
    ,
    Michael Nidd
    ,
    Ting Dai
    ,
    Oishik Chatterjee
    ,
    Pranjal Gupta
    ,
    Suranjana Samanta
    ,
    Pooja Aggarwal
    ,
    Rong Lee
    ,
    Jae-wook Ahn
    ,
    Debanjana Kar
    ,
    Amit M. Paradkar
    ,
    Yu Deng
    ,
    Pratibha Moogi
    ,
    Prateeti Mohapatra
    ,
    Naoki Abe
    ,
    Chandrasekhar Narayanaswami
    ,
    Tianyin Xu
    ,
    Lav R. Varshney
    ,
    Ruchi Mahindru
    ,
    Anca Sailer
    ,
    Laura Shwartz
    ,
    Daby Sow
    ,
    Nicholas C. Fuller
    ,
    Ruchir Puri
  5. 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
  6. Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
    ICLR 2024 ·
    Biswadeep Chakraborty
    ,
    Beomseok Kang
    , Harshit Kumar,
    Saibal Mukhopadhyay