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Home/Authors/Volodymyr Kuleshov

Volodymyr Kuleshov

Topic trends: 31,945 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,180 papers | Abstracts: 31,002 (90.7%) | Citations: 34,180 (100.0%) | arXiv: 25,731 (75.3%)

Built: Feb 7, 2026, 3:32 PM AMS

12

papers

338

total citations

papers (12)

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Remasking Discrete Diffusion Models with Inference-Time Scaling

NeurIPS 2025arXiv

Simple Guidance Mechanisms for Discrete Diffusion Models

The Diffusion Duality

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference

NeurIPS 2025arXiv

CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies

NeurIPS 2022arXiv

QuIP: 2-Bit Quantization of Large Language Models With Guarantees

NeurIPS 2023arXiv