PPaperPicks

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

Aaron Gokaslan
×8
Subham S. Sahoo
×6
Yair Schiff
×6
Marianne Arriola
×3
Justin T. Chiu
×3
Shachi Deshpande
×3
Guanghan Wang
×3
Charles Marx
×2
Hao Phung
×2
Christopher De Sa
×2
Zhihan Yang
×1
Zhixuan Qi
×1

Papers

  1. Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
    ICLR 2025 ·
    Marianne Arriola
    ,
    Aaron Gokaslan
    ,
    Justin T. Chiu
    ,
    Zhihan Yang
    ,
    Zhixuan Qi
    ,
    Jiaqi Han
    ,
    Subham Sekhar Sahoo
    , Volodymyr Kuleshov
  2. Calibrated Regression Against An Adversary Without Regret
    UAI 2025 ·
    Shachi Deshpande
    ,
    Charles Marx
    , Volodymyr Kuleshov
  3. Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
    AAAI 2025 ·
    Wasu Top Piriyakulkij
    ,
    Yingheng Wang
    , Volodymyr Kuleshov
  4. Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
    NeurIPS 2025 ·
    Marianne Arriola
    ,
    Yair Schiff
    ,
    Hao Phung
    ,
    Aaron Gokaslan
    , Volodymyr Kuleshov
  5. Remasking Discrete Diffusion Models with Inference-Time Scaling
    NeurIPS 2025 ·
    Guanghan Wang
    ,
    Yair Schiff
    ,
    Subham S. Sahoo
    , Volodymyr Kuleshov
  6. Simple Guidance Mechanisms for Discrete Diffusion Models
    ICLR 2025 ·
    Yair Schiff
    ,
    Subham Sekhar Sahoo
    ,
    Hao Phung
    ,
    Guanghan Wang
    ,
    Sam Boshar
    ,
    Hugo Dalla-torre
    ,
    Bernardo P. de Almeida
    ,
    Alexander M. Rush
    ,
    Thomas Pierrot
    , Volodymyr Kuleshov
  7. The Diffusion Duality
    ICML 2025 ·
    Subham Sekhar Sahoo
    ,
    Justin Deschenaux
    ,
    Aaron Gokaslan
    ,
    Guanghan Wang
    ,
    Justin T. Chiu
    , Volodymyr Kuleshov
  8. Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
    ICML 2024 ·
    Yair Schiff
    ,
    Chia-Hsiang Kao
    ,
    Aaron Gokaslan
    ,
    Tri Dao
    ,
    Albert Gu
    , Volodymyr Kuleshov
  9. Calibrated and Conformal Propensity Scores for Causal Effect Estimation
    UAI 2024 ·
    Shachi Deshpande
    , Volodymyr Kuleshov
  10. Common Canvas: Open Diffusion Models Trained on Creative-Commons Images
    CVPR 2024 ·
    Aaron Gokaslan
    ,
    A. Feder Cooper
    ,
    Jasmine Collins
    ,
    Landan Seguin
    ,
    Austin Jacobson
    ,
    Mihir Patel
    ,
    Jonathan Frankle
    ,
    Cory Stephenson
    , Volodymyr Kuleshov
  11. Diffusion Models With Learned Adaptive Noise
    NeurIPS 2024 ·
    Subham S. Sahoo
    ,
    Aaron Gokaslan
    ,
    Christopher De Sa
    , Volodymyr Kuleshov
  12. DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
    ICML 2024 ·
    Yair Schiff
    ,
    Zhong Yi Wan
    ,
    Jeffrey B. Parker
    ,
    Stephan Hoyer
    , Volodymyr Kuleshov,
    Fei Sha
    ,
    Leonardo Zepeda-Núñez
  13. Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
    UAI 2024 ·
    Jacqueline R. M. A. Maasch
    ,
    Weishen Pan
    ,
    Shantanu Gupta
    , Volodymyr Kuleshov,
    Kyra Gan
    ,
    Fei Wang
  14. Online Calibrated and Conformal Prediction Improves Bayesian Optimization
    AISTATS 2024 ·
    Shachi Deshpande
    ,
    Charles Marx
    , Volodymyr Kuleshov
  15. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
    ICML 2024 ·
    Albert Tseng
    ,
    Jerry Chee
    ,
    Qingyao Sun
    , Volodymyr Kuleshov,
    Christopher De Sa
  16. Simple and Effective Masked Diffusion Language Models
    NeurIPS 2024 ·
    Subham S. Sahoo
    ,
    Marianne Arriola
    ,
    Yair Schiff
    ,
    Aaron Gokaslan
    ,
    Edgar Marroquin
    ,
    Justin T. Chiu
    ,
    Alexander Rush
    , Volodymyr Kuleshov
  17. The GAN is dead; long live the GAN! A Modern GAN Baseline
    NeurIPS 2024 ·
    Nick Huang
    ,
    Aaron Gokaslan
    , Volodymyr Kuleshov,
    James Tompkin