Spotlights

Title	Authors	Paper	Session
Adversarial Robustness in Parameter-Space Classifiers	Tamir Shor, Ethan Fetaya, Chaim Baskin, Alex M. Bronstein	arxiv	morning
Equivariant Neural Functional Networks for Transformers	Hoang V. Tran, Thieu Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen		morning
Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space	Vinicius Hernandes, Thomas Spriggs, Saqar Khaleefah, Eliska Greplova	arxiv	morning
Model Diffusion for Certifiable Few-shot Transfer Learning	Fady Rezk, Royson Lee, Henry Gouk, Timothy Hospedales, Minyoung Kim	pdf	afternoon
Integrating Meta-Trained Hypernetworks with GBDTs and Retrieval for Tabular Data	David Bonet, Marçal Comajoan Cara, Alvaro Calafell, Daniel Mas Montserrat, Alexander G. Ioannidis		afternoon

Posters

Title	Authors	Paper	Session
TeleLoRA: Teleporting Alignment across Large Language Models for Trojan Mitigation	Xiao Lin, Manoj Acharya, Anirban Roy, Susmit Jha	arxiv	morning
Collaborative Time Series Imputation through Meta-learned Implicit Neural Representations	Tong Nie, Wei Ma		morning
Fusion of Graph Neural Networks via Optimal Transport	Weronika Ormaniec, Michael Vollenweider, Elisa Hoskovec	arxiv	morning
Finding Stable Subnetworks at Initialization with Dataset Distillation	Luke McDermott, Rahul Parhi	arxiv	morning
The Space Between: On Folding, Symmetries and Sampling	Michal Lewandowski, Bernhard Heinzl, Raphael Pisoni, Bernhard A. Moser	arxiv	morning
Uncovering Latent Chain of Thought Vectors in Large Language Models	Jason Zhang, Scott W Viteri	arxiv	morning
A Model Zoo of Vision Transformers	Damian Falk, Léo Meynent, Florence Pfammatter, Konstantin Schürholt, Damian Borth		morning
Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations	Uvini Balasuriya Mudiyanselage, Woojin Cho, Minju Jo, Noseong Park, Kookjin Lee	arxiv	morning
A Model Zoo on Phase Transitions in Neural Networks	Konstantin Schürholt, Léo Meynent, Yefan Zhou, Yaoqing Yang, Damian Borth		morning
ARC: Anchored Representation Clouds for High-Resolution INR Classification	Joost Luijmes, Alexander Gielisse, Roman Knyazhitskiy, Jan van Gemert	arxiv	morning
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models	Theo Putterman, Derek Lim, Yoav Gelberg, Stefanie Jegelka, Haggai Maron		morning
Mimetic Initialization of MLPs	Asher Trockman, J Zico Kolter		morning
Improving Learning to Optimize Using Parameter Symmetries	Guy Zamir, Aryan Dokania, Bo Zhao, Rose Yu	arxiv	morning
The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE	Andrei Chernov, Oleg Novitskij	arxiv	morning
Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces	Yihuai Hong, Lei Yu, Haiqin Yang, Shauli Ravfogel, Mor Geva		morning
GradMetaNet: An Equivariant Architecture for Learning on Gradients	Yoav Gelberg, Yam Eitan, Aviv Navon, Aviv Shamsian, Theo Putterman, Haggai Maron		morning
A Single Global Merging Suffices: Recovering Centralized Learning Performance in Decentralized Learning	Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang		morning
On Symmetries in Convolutional Weights	Bilal Alsallakh, Timothy J Wroge, Vivek Miglani, Narine Kokhlikyan	arxiv	morning
Hyper-Align: Efficient Modality Alignment via Hypernetworks	Jaisidh Singh, Diganta Misra, Boris Knyazev, Antonio Orvieto		morning
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective	Ambarish Moharil, Indika Kumara, Majid Mohammadi, Damian Andrew Tamburri, Willem-Jan van den Heuvel	arxiv	morning
Cost-Efficient Continual Learning with Sufficient Exemplar Memory	Dong Kyu Cho, Taesup Moon, Rumi Chunara, Kyunghyun Cho, Sungmin Cha	arxiv	morning
Dataset Size Recovery from Fine-Tuned Model Weights	Mohammad Salama, Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen	arxiv	morning
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization	Zexi Li, Lingzhi Gao, Chao Wu	arxiv	afternoon
Instruction-Guided Autoregressive Neural Network Parameter Generation	Bedionita Soro, Bruno Andreis, Song Chong, Sung Ju Hwang	arxiv	afternoon
ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction	Tong Zhou, Shijin Duan, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu	arxiv	afternoon
Shape Generation via Weight Space Learning	Maximilian Plattner, Arturs Berzins, Johannes Brandstetter	arxiv	afternoon
Mimetic Initialization Helps State Space Models Learn to Recall	Asher Trockman, Hrayr Harutyunyan, J Zico Kolter, Sanjiv Kumar, Srinadh Bhojanapalli		afternoon
Scaling Up Parameter Generation: A Recurrent Diffusion Approach	Kai Wang, Dongwen Tang, Wangbo Zhao, Konstantin Schürholt, Zhangyang Wang, Yang You	arxiv	afternoon
Learning on Model Weights using Tree Experts	Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid Hoshen	arxiv	afternoon
Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights	Jonathan Kahana, Or Nathan, Eliahu Horwitz, Yedid Hoshen	arxiv	afternoon
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction	Léo Meynent, Ivan Melev, Konstantin Schürholt, Goeran Kauermann, Damian Borth	arxiv	afternoon
Can We Optimize Deep RL Policy Weights as Trajectory Modeling?	Hongyao Tang	arxiv	afternoon
The Impact of Model Zoo Size and Composition on Weight Space Learning	Damian Falk, Konstantin Schürholt, Damian Borth		afternoon
Vanishing Feature: Diagnosing Model Merging and Beyond	Xingyu Qu, Samuel Horváth	arxiv	afternoon
End-to-End Synthesis of Neural Programs in Weight Space	Wenhao Li, Yudong Xu, Elias Boutros Khalil, Scott Sanner		afternoon
Flow to Learn: Flow Matching on Neural Network Parameters	Daniel Saragih, Deyu Cao, Tejas Balaji, Ashwin Santhosh	arxiv	afternoon
On the internal representations of graph metanetworks	Taesun Yeom, Jaeho Lee	arxiv	afternoon
Compressive Meta-Learning	Daniel Mas Montserrat, David Bonet, Maria Perera, Xavier Giró-i-Nieto, Alexander G. Ioannidis		afternoon
Model Assembly Learning with Heterogeneous Layer Weight Merging	Yi-Kai Zhang, Jin Wang, Xu-Xiang Zhong, De-Chuan Zhan, Han-Jia Ye	arxiv	afternoon
GNNMERGE: MERGING OF GNN MODELS WITHOUT ACCESSING TRAINING DATA	Vipul Garg, Ishita Thakre, Sayan Ranu	arxiv	afternoon