| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Fri, 19 Sep 2025 08:10:26 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"68cd0ff2-3a81"
expires: Mon, 29 Dec 2025 11:13:38 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: CF1F:36A0B4:8B6A10:9C85E8:69526003
accept-ranges: bytes
age: 0
date: Mon, 29 Dec 2025 11:03:38 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210021-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1767006219.710546,VS0,VE209
vary: Accept-Encoding
x-fastly-request-id: 1d2c70a21049f111d4e7bd8d799edaf631d370ea
content-length: 4720
Accepted Papers | ICLR 2025 Workshop on Weight Space Learning
Skip to the content.
ICLR 2025 Workshop on Weight Space Learning
Neural Network Weights as a New Data Modality
Home Call for Papers Schedule Speakers Accepted Papers OrganizersSpotlights
| 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 | 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 |