Volodymyr Kuleshov

papers

1,190

total citations

papers (13)

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

NEURIPS 2023arXiv

325

citations

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

ICML 2024arXiv

241

citations

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

ICLR 2025arXiv

197

citations

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

NEURIPS 2022arXiv

citations

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference

NEURIPS 2025arXiv

citations

ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

ICLR 2024arXiv

citations

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors

AAAI 2025arXiv

citations

CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images

CVPR 2024

citations

Volodymyr Kuleshov

papers (13)

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

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

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

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

Remasking Discrete Diffusion Models with Inference-Time Scaling

Simple Guidance Mechanisms for Discrete Diffusion Models

The Diffusion Duality

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

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

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference

ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors

CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images

papers (13)

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

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

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

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

Remasking Discrete Diffusion Models with Inference-Time Scaling

Simple Guidance Mechanisms for Discrete Diffusion Models

The Diffusion Duality

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

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

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference

ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors

CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images