Volodymyr Kuleshov

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models ICLR 2025 Calibrated Regression Against An Adversary Without Regret UAI 2025 Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025 Simple Guidance Mechanisms for Discrete Diffusion Models ICLR 2025 The Diffusion Duality ICML 2025 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling ICML 2024 Calibrated and Conformal Propensity Scores for Causal Effect Estimation UAI 2024 CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images CVPR 2024 Diffusion Models With Learned Adaptive Noise NeurIPS 2024 DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems ICML 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024 Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024 QuIP$#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks ICML 2024 Simple and Effective Masked Diffusion Language Models NeurIPS 2024 The GAN is dead; long live the GAN! A Modern GAN Baseline NeurIPS 2024 Backpropagation through Combinatorial Algorithms: Identity with Projection Works ICLR 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models ICML 2023 QuIP: 2-Bit Quantization of Large Language Models With Guarantees NeurIPS 2023 Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023 Semi-Parametric Inducing Point Networks and Neural Processes ICLR 2023 Text Embeddings Reveal (Almost) As Much As Text EMNLP 2023 Autoregressive Quantile Flows for Predictive Uncertainty Estimation ICLR 2022 Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation ICML 2022 Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies NeurIPS 2022 Model Criticism for Long-Form Text Generation EMNLP 2022 Calibrated Model-Based Deep Reinforcement Learning ICML 2019 Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. NeurIPS 2019 Accurate Uncertainties for Deep Learning Using Calibrated Regression ICML 2018 Adversarial Constraint Learning for Structured Prediction IJCAI 2018 Neural Variational Inference and Learning in Undirected Graphical Models NeurIPS 2017 Calibrated Structured Prediction NeurIPS 2015 Tensor Factorization via Matrix Factorization AISTATS 2015 Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013