Papers
Theoretical Limitations of Ensembles in the Age of Overparameterization
Niclas Dern, John Patrick Cunningham, Geoff Pleiss
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
Zhun Deng, Thomas P Zollo, Benjamin Eyre et al.
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
Huayu Deng, Xiangming Zhu, Yunbo Wang et al.
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Junze Deng, Qinhang Wu, Peizhong Ju et al.
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
Junwei Deng, Weijing Tang, Jiaqi W. Ma
EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation
Ji Deng, Zhao Li, Ji Zhang et al.
Discrepancy Minimization in Input-Sparsity Time
Yichuan Deng, Xiaoyu Li, Zhao Song et al.
Procurement Auctions via Approximately Optimal Submodular Optimization
Yuan Deng, Amin Karbasi, Vahab Mirrokni et al.
Predicting mutational effects on protein binding from folding energy
Arthur Deng, Karsten D. Householder, Fang Wu et al.
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Yingying Deng, Xiangyu He, Changwang Mei et al.
Towards Understanding Parametric Generalized Category Discovery on Graphs
Bowen Deng, Lele Fu, Jialong Chen et al.
Learning Distribution-wise Control in Representation Space for Language Models
Chunyuan Deng, Ruidi Chang, Hanjie Chen
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Charita Dellaporta, Patrick O’Hara, Theodoros Damoulas
A Unified Approach to Routing and Cascading for LLMs
Jasper Dekoninck, Maximilian Baader, Martin Vechev
An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks
Mohsen Dehghankar, Mahdi Erfanian, Abolfazl Asudeh
Improving Transformer World Models for Data-Efficient RL
Antoine Dedieu, Joseph Ortiz, Xinghua Lou et al.
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari et al.
Trust-Region Twisted Policy Improvement
Joery A. De Vries, Jinke He, Yaniv Oren et al.
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
William De Vazelhes, Xiaotong Yuan, Bin Gu
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
Thibault De Surrel, Fabien Lotte, Sylvain Chevallier et al.
Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
Maynara Donato De Souza, Cleber Zanchettin
Provable Maximum Entropy Manifold Exploration via Diffusion Models
Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh et al.
Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story
Vincenzo De Paola, Riccardo Zamboni, Mirco Mutti et al.
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Bryan Lincoln Marques De Oliveira, Luana Guedes Barros Martins, Bruno Brandão et al.
EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption
Leo De Castro, Daniel Escudero, Adya Agrawal et al.