Posters

Poisson Private Representation (PPR) enables exact compression of any local differential privacy mechanism, achieving order-wise optimal trade-offs between communication, accuracy, and privacy.

MMVM VAE enhances multimodal data analysis by using a soft constraint to guide each modality’s latent representation toward a shared aggregate, improving latent representation learning and missing dat…

UniTS: one model to rule them all! This unified multi-task time series model excels in forecasting, classification, anomaly detection, and imputation, outperforming specialized models across 38 divers…

ADV-TRA uses adversarial trajectories to robustly fingerprint deep neural networks, outperforming state-of-the-art methods against various removal attacks.

UNIT: One Vision Encoder Unifies Image & Text Recognition!

UniSDF: Unifying neural representations reconstructs complex scenes with reflections, achieving state-of-the-art performance by blending camera and reflected view radiance fields.

Unique3D: Single image to high-fidelity 3D mesh in 30 seconds!

UNION: Unsupervised 3D object detection method doubles average precision, leveraging LiDAR, camera, and temporal data for efficient training without manual labels.

UniMTS, a novel unified pre-training model, achieves state-of-the-art performance in motion time series classification by generalizing across diverse device factors and activities.

UniIF: A unified model revolutionizes molecule inverse folding, achieving state-of-the-art results across protein, RNA, and material design by employing a novel geometric block attention network.

UniGAD unifies multi-level graph anomaly detection, improving accuracy and zero-shot transferability by jointly modeling node, edge, and graph anomalies via a novel subgraph sampler and GraphStitch Ne…

TFE-GNN: A novel spectral GNN using triple filter ensembles for superior homophily/heterophily handling and improved generalization on real-world graphs.

Latent Graph Diffusion (LGD) unifies graph learning, solving all task levels and types with a single framework and state-of-the-art results.

This paper introduces the Uniform Last-Iterate (ULI) guarantee, a novel metric for evaluating reinforcement learning algorithms that considers both cumulative and instantaneous performance. Unlike ex…

UniFL: Unified Feedback Learning revolutionizes latent diffusion models by improving image quality, aesthetics, and inference speed through a unified feedback learning framework, surpassing existing m…

One model to rule them all! This paper introduces Unified Speech Recognition (USR), a single model trained for auditory, visual, and audiovisual speech recognition, achieving state-of-the-art results …

This paper presents a novel framework for achieving tighter differential privacy guarantees via mechanism-specific amplification using subsampling.

LexVLA: A novel visual-language alignment framework learns unified lexical representations for improved interpretability and efficient cross-modal retrieval.

MPI: A novel framework harnesses multi-modal biological data via view decoupling for superior phenotype imputation.

UniGuide: A unified framework for geometry-conditioned molecular generation using unconditional diffusion models, enabling flexible conditioning without extra training or networks.