DIG has five articles accepted at ICLR 2026

• TabStruct: Measuring Structural Fidelity of Tabular Data. Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik

• Query-Level Uncertainty in Large Language Models. Lihu Chen, Fabian M. Suchanek, Gaël Varoquaux, Gerard de Melo

• Efficient Resource Constrained Training of Vision Transformers via Subspace Optimization. Le-Trung Nguyen, Enzo Tartaglione, Van-Tam Nguyen

• Study of Training Dynamics for Memory-Constrained Fine-tuning. Aël Quélennec, Nour Hezbri, Pavlo Mozharovskyi, Van-Tam Nguyen, Enzo Tartaglione

• INSTANT: Compressing Gradients and Activations for Resource-Efficient Training. Tuan-Kiet Doan, Trung-Hieu Tran, Enzo Tartaglione, Nikola Simidjievski, Van-Tam Nguyen