PPaperPicks

Devendra Singh Dhami

14 papers at tracked venues · 10 at CORE A* · active 2024–2025

DBLP profile ↗ORCID search ↗

Venues

NeurIPS ×5ICLR ×3UAI ×3AAAI ×1ICML ×1IROS ×1

Frequent coauthors

Hikaru Shindo
DBLP profile ↗ORCID search ↗
×2
Antonia Wüst
DBLP profile ↗ORCID search ↗
×2
Harsh Poonia
DBLP profile ↗ORCID search ↗
×2
Jonas Seng
DBLP profile ↗ORCID search ↗
×2
Moritz Willig
DBLP profile ↗ORCID search ↗
×2
Simon Kohaut
DBLP profile ↗ORCID search ↗
×1
Maurice Kraus
DBLP profile ↗ORCID search ↗
×1
Martin Mundt
DBLP profile ↗ORCID search ↗
×1
Arseny Skryagin
DBLP profile ↗ORCID search ↗
×1

Papers

  1. BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
    ICLR 2025 ·
    Hikaru Shindo
    DBLP profile ↗ORCID search ↗
  2. Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
    ICML 2025 ·
    Antonia Wüst
    DBLP profile ↗ORCID search ↗
  3. Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
    NeurIPS 2025 ·
    Harsh Poonia
    DBLP profile ↗ORCID search ↗
  4. Scaling Probabilistic Circuits via Data Partitioning
    UAI 2025 ·
    Jonas Seng
    DBLP profile ↗ORCID search ↗
  5. Systems with Switching Causal Relations: A Meta-Causal Perspective
    ICLR 2025 ·
    Moritz Willig
    DBLP profile ↗ORCID search ↗
  6. The Constitutional Filter: Bayesian Estimation of Compliant Agents
    IROS 2025 ·
    Simon Kohaut
    DBLP profile ↗ORCID search ↗
  7. When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions
    NeurIPS 2025 ·
    Moritz Willig
    DBLP profile ↗ORCID search ↗
  8. xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
    NeurIPS 2025 ·
    Maurice Kraus
    DBLP profile ↗ORCID search ↗
  9. AAAI Bridge Program on Continual Causality, 20-21 February 2024, Vancouver, Canada
    AAAI 2024 ·
    Martin Mundt
    DBLP profile ↗ORCID search ↗
  10. DeiSAM: Segment Anything with Deictic Prompting
    NeurIPS 2024 ·
    Hikaru Shindo
    DBLP profile ↗ORCID search ↗
  11. Graph Neural Networks Need Cluster-Normalize-Activate Modules
    NeurIPS 2024 ·
    Arseny Skryagin
    DBLP profile ↗ORCID search ↗
  12. Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
    ICLR 2024 ·
    Jonas Seng
    DBLP profile ↗ORCID search ↗
  13. Pix2Code: Learning to Compose Neural Visual Concepts as Programs
    UAI 2024 ·
    Antonia Wüst
    DBLP profile ↗ORCID search ↗
  14. χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
    UAI 2024 ·
    Harsh Poonia
    DBLP profile ↗ORCID search ↗