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Volodymyr Kuleshov

17 papers at tracked venues · 13 at CORE A* · active 2024–2025

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Venues

NeurIPS ×5ICML ×4UAI ×3ICLR ×2AAAI ×1AISTATS ×1CVPR ×1

Frequent coauthors

Shachi Deshpande
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Yair Schiff
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Subham S. Sahoo
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Marianne Arriola
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Wasu Top Piriyakulkij
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Guanghan Wang
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Aaron Gokaslan
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Jacqueline R. M. A. Maasch
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Albert Tseng
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Nick Huang
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Papers

  1. Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
    ICLR 2025 ·
    Marianne Arriola
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  2. Calibrated Regression Against An Adversary Without Regret
    UAI 2025 ·
    Shachi Deshpande
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  3. Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
    AAAI 2025 ·
    Wasu Top Piriyakulkij
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  4. Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
    NeurIPS 2025 ·
    Marianne Arriola
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  5. Remasking Discrete Diffusion Models with Inference-Time Scaling
    NeurIPS 2025 ·
    Guanghan Wang
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  6. Simple Guidance Mechanisms for Discrete Diffusion Models
    ICLR 2025 ·
    Yair Schiff
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  7. The Diffusion Duality
    ICML 2025 ·
    Subham Sekhar Sahoo
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  8. Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
    ICML 2024 ·
    Yair Schiff
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  9. Calibrated and Conformal Propensity Scores for Causal Effect Estimation
    UAI 2024 ·
    Shachi Deshpande
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  10. Common Canvas: Open Diffusion Models Trained on Creative-Commons Images
    CVPR 2024 ·
    Aaron Gokaslan
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  11. Diffusion Models With Learned Adaptive Noise
    NeurIPS 2024 ·
    Subham S. Sahoo
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  12. DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
    ICML 2024 ·
    Yair Schiff
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  13. Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
    UAI 2024 ·
    Jacqueline R. M. A. Maasch
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  14. Online Calibrated and Conformal Prediction Improves Bayesian Optimization
    AISTATS 2024 ·
    Shachi Deshpande
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  15. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
    ICML 2024 ·
    Albert Tseng
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  16. Simple and Effective Masked Diffusion Language Models
    NeurIPS 2024 ·
    Subham S. Sahoo
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  17. The GAN is dead; long live the GAN! A Modern GAN Baseline
    NeurIPS 2024 ·
    Nick Huang
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