Accepted Papers
Below is the list of accepted papers:
| title | decision | Poster Section |
|---|---|---|
| Self-Speculative Decoding in Any-Order and Any-Subset Autoregressive Models | Accept (Oral) | Poster Section 1 |
| Learning to Iteratively Improve 3D Representation with 2D Generative Models | Accept | Poster Section 1 |
| Zero-Variance Gradients for Variational Autoencoders | Accept | Poster Section 1 |
| Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation | Accept | Poster Section 1 |
| CoVAE: Consistency Training of Variational Autoencoders | Accept | Poster Section 1 |
| Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control | Accept | Poster Section 1 |
| Inference-time Scaling of Diffusion Models through Classical Search | Accept (Oral) | Poster Section 1 |
| SLayR: Scene Layout Generation with Rectified Flow | Accept | Poster Section 1 |
| Rethinking Direct Preference Optimization in Diffusion Models | Accept | Poster Section 1 |
| Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions | Accept | Poster Section 1 |
| Probabilistic Soundness Guarantees in LLM Reasoning Chains | Accept | Poster Section 1 |
| Transformers as Unrolled Inference in Probabilistic Laplacian Eigenmaps | Accept | Poster Section 1 |
| Inference and Generating Method for Extremely Sparse Networks | Accept | Poster Section 1 |
| Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles | Accept | Poster Section 1 |
| MMG: Mutual Information Estimation via the MMSE Gap in Diffusion | Accept | Poster Section 1 |
| Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization | Accept (Oral) | Poster Section 1 |
| The Unwinnable Arms Race of AI Image Detection | Accept | Poster Section 1 |
| Improving Iterative Gaussian Processes via Warm Starting Sequential Posteriors | Accept | Poster Section 1 |
| FlowBack-Adjoint: Energy-Guided Conditional Flow-Matching for Protein Side-Chain Generation | Accept | Poster Section 1 |
| State-Space Architectures for Scalable Diffusion-based 3D Molecule Generation | Accept | Poster Section 1 |
| Partial Resolution: Optimal Multi-Draft Speculative Sampling in Near-Linear Time | Accept | Poster Section 1 |
| STED and Consistency Scoring: A Framework for Evaluating LLM Structured Output Reliability | Accept | Poster Section 1 |
| Enhancing Diffusion Model Guidance through Calibration and Regularization | Accept | Poster Section 1 |
| An Information-Theoretic Discrete Poisson Diffusion Framework | Accept | Poster Section 1 |
| Variational Deep Learning via Implicit Regularization | Accept | Poster Section 1 |
| Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs | Accept | Poster Section 1 |
| From Entropy Rate to Redundancy: Information Dynamics in Large Language Models | Accept | Poster Section 1 |
| A Multi-Method Interpretability Framework for Probing Cognitive Processing in Deep Neural Networks across Vision and Biomedical Domains | Accept | Poster Section 1 |
| moPPIt-v3: Motif-Specific Peptides Generated via Multi-Objective-Guided Discrete Flow Matching | Accept | Poster Section 1 |
| Information-Guided Diffusion Sampling for Dataset Distillation | Accept | Poster Section 1 |
| Token-Level Guided Discrete Diffusion for Membrane Protein Design | Accept | Poster Section 1 |
| A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with applications to wireless communication systems | Accept | Poster Section 1 |
| Graph Random Features for Scalable Gaussian Processes | Accept | Poster Section 1 |
| GFlowNets for Learning Better Drug-Drug Interaction Representations | Accept | Poster Section 1 |
| BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation | Accept | Poster Section 1 |
| Failure Prediction Is a Better Performance Proxy for Early-Exit Networks Than Calibration | Accept | Poster Section 1 |
| Value Matching: Scalable and Gradient-Free Reward-Guided Flow Adaptation | Accept | Poster Section 1 |
| Bayes-PD: Exploring a Sequence to Binding Bayesian Neural Network model trained on Phage Display data | Accept | Poster Section 1 |
| Simple, Fast and Efficient Injective Manifold Density Estimation with Random Projections | Accept | Poster Section 1 |
| Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion | Accept | Poster Section 1 |
| DDS-E-Sim: A Transformer-based Probabilistic Generative Framework for Simulating Error-Prone DNA Sequences for DNA Data Storage | Accept | Poster Section 1 |
| Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery | Accept | Poster Section 1 |
| Hold That Exit: Near Optimal Early-Exit Inference via Recall | Accept | Poster Section 1 |
| Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion | Accept | Poster Section 1 |
| VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation | Accept | Poster Section 1 |
| Steering Pretrained Drafters during Speculative Decoding | Accept | Poster Section 1 |
| Tokenized Neural Fields: Structured Representations of Continuous Signals | Accept | Poster Section 1 |
| TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces | Accept | Poster Section 1 |
| Multi-Objective Nanobody Design via Masked Discrete Diffusion with Simplex Refinement | Accept | Poster Section 1 |
| Weighted Conditional Flow Matching | Accept | Poster Section 1 |
| A Connection Between Score Matching and Local Intrinsic Dimension | Accept | Poster Section 2 |
| Multimodal Bayesian Network for Robust Assessment of Casualty in Autonomous Triage | Accept | Poster Section 2 |
| Selective Underfitting in Diffusion Models | Accept | Poster Section 2 |
| Reconsidering Noise for Denoising Diffusion Probabilistic Models | Accept | Poster Section 2 |
| Effective Diffusion-free Score Matching for Exact Conditional Sampling | Accept | Poster Section 2 |
| Learning Boltzmann Generators via Constrained Mass Transport | Accept (Oral) | Poster Section 2 |
| Personalized English Amharic Medical Image Caption and Speech Generation for Visually Impaired Patients Using Vision Transformer Fused with LLM | Accept | Poster Section 2 |
| Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference | Accept | Poster Section 2 |
| Is Sequence Information All You Need for Bayesian Optimization of Antibodies? | Accept | Poster Section 2 |
| Can We Estimate The Entropy Of Arbitrary Distributions Known Up To A Normalization Constant? | Accept | Poster Section 2 |
| Probabilistic Image Generation with LLM Priors via Structured Rectified Flow | Accept | Poster Section 2 |
| Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching | Accept | Poster Section 2 |
| On Fitting Flow Models with Large Sinkhorn Couplings | Accept | Poster Section 2 |
| Improving Generation Quality of Long-Tailed Diffusion via Disentangled Latent Representations | Accept | Poster Section 2 |
| Generalization of Diffusion Models Arises from a Regularized Representation Space | Accept | Poster Section 2 |
| 3-Model Speculative Decoding | Accept | Poster Section 2 |
| Cross-Lingual Multimodal Retrieval-Augmented Generation for Open Question Answering in Tamil and Yoruba | Accept | Poster Section 2 |
| Beyond Linear Diffusions: Improved Representations for Rare Conditional Generative Modeling | Accept | Poster Section 2 |
| Temporal Alignment Guidance: On-manifold Sampling in Diffusion Models | Accept | Poster Section 2 |
| ISUM: Inverse Problem Solver via Unbalanced Optimal Transport Map | Accept | Poster Section 2 |
| BioBO: Biology-informed Bayesian Optimization for Perturbation Design | Accept | Poster Section 2 |
| Myosotis: structured computation for attention like layer | Accept | Poster Section 2 |
| Generative Actor-Critic | Accept | Poster Section 2 |
| Learning Velocity Prior-Guided Hamiltonian-Jacobi Flows with Unbalanced Optimal Transport | Accept | Poster Section 2 |
| Constrained Molecular Generation via Sequential Flow Model Fine-Tuning | Accept | Poster Section 2 |
| Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation | Accept | Poster Section 2 |
| Entropy-Guided Sampling of Flat Modes in Discrete Spaces | Accept | Poster Section 2 |
| Slithering through Gaps: Capturing Discrete Isolated Modes via Logistic Bridging | Accept | Poster Section 2 |
| Leveraging Probabilistic Modeling for Robust End-to-End Autonomous Driving across Domains | Accept | Poster Section 2 |
| A Theory of Multi-Agent Generative Flow Networks | Accept | Poster Section 2 |
| Robust Multi-task Modeling for Bayesian Optimization via In-Context Learning | Accept | Poster Section 2 |
| When Do LLMs Improve Bayesian Optimization? A Systematic Comparison Across Molecular and Protein Design | Accept | Poster Section 2 |
| Divergence Minimization Preference Optimization for Diffusion Model Alignment | Accept | Poster Section 2 |
| Ambient Diffusion Omni | Accept (Oral) | Poster Section 2 |
| GenUQ: Predictive Uncertainty Estimates via Generative Hyper-Networks | Accept | Poster Section 2 |
| Inception Inference: Nested Probabilistic Reasoning over Story Graphs from Text | Accept | Poster Section 2 |
| Continuous-Token Diffusion for Speaker-Referenced TTS in Multimodal LLMs | Accept | Poster Section 2 |
| IAGA: Identity-Aware Gaussian Approximation for Efficient 3D Molecular Generation | Accept | Poster Section 2 |
| Score-based Idempotent Distillation of Diffusion Models | Accept | Poster Section 2 |
| SpectFlow: Long-term forecasting using flow matching with 89k parameters | Accept | Poster Section 2 |
| Neural Universal Scene Descriptors | Accept | Poster Section 2 |
| ImmUQBench: A Benchmark on Uncertainty Quantification of Protein Immunogenicity Prediction | Accept | Poster Section 2 |
| SpecAttn - Speculating Sparse Attention | Accept | Poster Section 2 |
| Efficient Flow Matching using Latent Variables | Accept | Poster Section 2 |
| Any-Order Flexible Length Masked Diffusion | Accept | Poster Section 2 |
| PolUQBench: A Benchmark Study on Uncertainty Quantification of Polymer Property Prediction | Accept | Poster Section 2 |
| Contrastive MIM: A Contrastive Mutual Information Framework for Unified Generative and Discriminative Representation Learning | Accept | Poster Section 2 |
| Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing | Accept | Poster Section 2 |
| Using maximal information auxiliary variables to improve synthetic data generation based on TabPFN foundation models | Accept | Poster Section 2 |
| Probabilistic Variational Contrastive Learning | Accept | Poster Section 2 |
| GNN-Guided Block Selection in Gibbs MCMC | Accept | Poster Section 2 |
| CoPE: A Lightweight Complex Positional Encoding | Accept | Poster Section 2 |
| An Optimal Algorithm for Marginalization in Bayesian Networks | Accept | Poster Section 2 |
| Semantic Probabilistic Control of Language Models | Accept | Poster Section 2 |
| Foundations of Top-$k$ Decoding for Language Models | Accept | Poster Section 2 |
| Improved Sampling from Masked Diffusion Models with Position Contrastive Guidance | Accept | Poster Section 2 |
| When rule learning breaks: Diffusion Fails to Learn Parity of Many Bits | Accept (Oral) | Poster Section 2 |
| DenseMixer: Improving MoE Post-Training with Precise Router Gradient | Accept | Poster Section 2 |
| Multi-scale Autoregressive Models are Laplacian, Discrete, and Latent Diffusion Models In Disguise | Accept | Poster Section 2 |
| Where the Score Lives: A Wavelet View of Diffusion | Accept | Poster Section 2 |
| Value Gradient Guidance for Flow Matching Alignment | Accept | Poster Section 2 |
| Entangled Schrödinger Bridge Matching | Accept | Poster Section 2 |
| Entropy Is Not Enough: Uncertainty Quantification for LLMs fails under Aleatoric Uncertainty | Accept | Poster Section 2 |
| ScooBDoob: Schrödinger Bridge with Doob’s h-Transform for Molecular Dynamics | Accept | Poster Section 2 |
| Diffusion Beats Autoregressive in Data-Constrained Settings | Accept | Poster Section 2 |