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Manisha Luthra

12 papers at tracked venues · 9 at CORE A* · active 2024–2026

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Venues

EDBT ×3SIGMOD ×3VLDB ×3ICDE ×2AAAI ×1

Frequent coauthors

Carsten Binnig
×7
Roman Heinrich
×5
Uélison Jean Lopes dos Santos
×2
Wang Yue
×2
Tilmann Rabl
×2
Johannes Wehrstein
×2
Harald Kornmayer
×2
Pratyush Agnihotri
×2
Vashu Chauhan
×1
Avinash Anand
×1
Rajiv Ratn Shah
×1
Kavitha Srinivas
×1

Papers

  1. IMPACT: Integrated Multimodal Pipeline for Rapid Accident Causality Tracking (Student Abstract)
    AAAI 2026 ·
    Vashu Chauhan
    ,
    Avinash Anand
    , Manisha Luthra,
    Uélison Jean Lopes dos Santos
    ,
    Carsten Binnig
    ,
    Rajiv Ratn Shah
  2. Ninth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM'26)
    SIGMOD 2026 ·
    Kavitha Srinivas
    , Manisha Luthra,
    Selim F. Tekin
  3. Towards Multimodal Stream Processing Systems
    EDBT 2026 ·
    Uélison Jean Lopes dos Santos
    ,
    Alessandro Ferri
    ,
    Szilard Nistor
    ,
    Riccardo Tommasini
    ,
    Carsten Binnig
    , Manisha Luthra
  4. Dema: Efficient Decentralized Aggregation for Non-Decomposable Quantile Functions
    EDBT 2025 ·
    Wang Yue
    ,
    Martin Boissier
    , Manisha Luthra,
    Tilmann Rabl
  5. Eighth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)
    SIGMOD 2025 ·
    Renata Borovica-Gajic
    , Manisha Luthra,
    Ryan Marcus
    ,
    Rajesh Bordawekar
    ,
    Oded Shmueli
  6. How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks
    SIGMOD 2025 ·
    Roman Heinrich
    , Manisha Luthra,
    Johannes Wehrstein
    ,
    Harald Kornmayer
    ,
    Carsten Binnig
  7. Learned Cost Models for Query Optimization: From Batch to Streaming Systems
    VLDB 2025 ·
    Roman Heinrich
    ,
    Xiao Li
    , Manisha Luthra,
    Zoi Kaoudi
  8. Learning What Matters: Automated Feature Selection for Learned Cost Model in Parallel Stream Processing
    VLDB 2025 ·
    Pratyush Agnihotri
    ,
    Carsten Binnig
    , Manisha Luthra
  9. Opening The Black-Box: Explaining Learned Cost Models For Databases
    VLDB 2025 ·
    Roman Heinrich
    ,
    Oleksandr Havrylov
    , Manisha Luthra,
    Johannes Wehrstein
    ,
    Carsten Binnig
  10. Costream: Learned Cost Models for Operator Placement in Edge-Cloud Environments
    ICDE 2024 ·
    Roman Heinrich
    ,
    Carsten Binnig
    ,
    Harald Kornmayer
    , Manisha Luthra
  11. Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications
    EDBT 2024 ·
    Wang Yue
    ,
    Rafael Moczalla
    , Manisha Luthra,
    Tilmann Rabl
  12. ZERoTuNE: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing
    ICDE 2024 ·
    Pratyush Agnihotri
    ,
    Boris Koldehofe
    ,
    Paul Stiegele
    ,
    Roman Heinrich
    ,
    Carsten Binnig
    , Manisha Luthra