ELLIS Posters
71 accepted poster submissions.
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
Emanuel Sommer, Jakob Robnik, Giorgi Nozadze, Uros Seljak, David Rügamer
Multilingual Pretraining for Pixel Language Models
Ilker Kesen, Jonas F. Lotz, Ingo Ziegler, Phillip Rust, Desmond Elliott
Systems with Switching Causal Relations: A Meta-Causal Perspective
Moritz Willig, Tim Woydt, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting
QuEST: Stable Training of LLMs with 1-Bit Weights and Activations
Andrei Panferov, Jiale Chen, Soroush Tabesh, Mahdi Nikdan, Dan Alistarh
On Space Folds of Neural Networks
Michal Lewandowski, Hamid Egbalzadeh, Bernhard Heinzl, Raphael Pisoni, Bernhard A.Moser
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof
On the Low-Rank Parametrization of Reward Models for Controlled Language Generation
Sergey Troshin, Vlad Niculae, Antske Fokkens
Keep your distance: learning dispersed embeddings on Sm
Evgeniia Tokarchuk, Hua Chang Bakker, Vlad Niculae
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
Prakash Chandra Chhipa, Gautam Vashishtha, Settur Jithamanyu, Rajkumar Saini, Mubarak Shah, Marcus Liwicki
Cost-aware simulation-based inference
Ayush Bharti, Daolang Huang, Samuel Kaski, Francois-Xavier Briol
Recent advances in likelihood-free Bayesian inference and its applications
There are too many, we want to make a combined poster from multiple highlight papers on the indicated theme
Paths and Ambient Spaces in Neural Loss Landscapes
Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, David Rügamer, Oliver Dürr
Gradient Extrapolation for Debiased Representation Learning
Ihab Asaad, Maha Shadaydeh, Joachim Denzler
On convex decision regions in deep network representations
Lenka Tětková, Thea Brüsch, Teresa Dorszewski, Fabian Martin Mager, Rasmus Ørtoft Aagaard, Jonathan Foldager, Tommy Sonne Alstrøm, Lars Kai Hansen
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu, Arto Klami, Aapo Hyvärinen, Anna Korba, Omar Chehab
An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data
Nikita Lagrange, Hervé Isambert
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization
Yu-Han Wu, Pierre Marion, Gérard Biau, Claire Boyer
SFESS: Score Function Estimators for k-Subset Sampling
Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
Safe-EF: Error Feedback for Nonsmooth Constrained Optimization
Rustem Islamov, Yarden As, Ilyas Fatkhullin
Efficient Open Set Single Image Test Time Adaptation of Vision Language Models
Manogna Sreenivas, Soma Biswas
Discriminative Ordering Through Ensemble Consensus
Louis Ohl, Fredrik Lindsten
SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation
Hai Pham, Tung Do, Phong Nguyen, Binh-Son Hua, Khoi Nguyen, Rang Nguyen
ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer
Natalia Sikora, Robert L. Manschke, Alethea M. Tang, Peter Dunstan, Dean A. Harris, Su Yang
SEKE: Specialised Experts for Keyword Extraction
Matej Martinc ~Matej_Martinc1 , Thi Hong Hanh TRAN, Senja Pollak, Boshko Koloski
How Redundant Is the Transformer Stack in Speech Representation Models?
Teresa Dorszewski, Albert Kjøller Jacobsen, Lenka Tětková, and Lars Kai Hansen
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
Niklas Schmidinger ~Niklas_Schmidinger1 , Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer
A unifying framework for generalised Bayesian online learning in non-stationary environments
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alex Shestopaloff, Kevin Patrick Murphy
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
Audrey Poinsot, Panayiotis Panayiotou, Alessandro Leite, Nicolas Chesneau, Özgür Simsek, Marc Schoenauer
Improved Variational Inference in Discrete VAEs using Error Correcting Codes
María Martínez-García, Grace Villacrés, David Mitchell, Pablo M. Olmos
The art of deception: Color visual illusions and diffusion models
Alexandra Gomez-Villa, Kai Wang, C Alejandro Parraga, Bartłomiej Twardowski, Jesus Malo, Javier Vazquez-Corral, Joost van den Weijer
ELBOing Stein: Variational bayes with Stein mixture inference
Ola Rønning; Eric Nalisnick; Christophe Ley; Padhraic Smyth; Thomas Hamelryck
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian ~Taraneh_Younesian2 , Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem
Energy-Based Flow Matching for Generating 3D Molecular Structure
Wenyin Zhou, Christopher Iliffe Sprague, Vsevolod Viliuga, Matteo Tadiello, Arne Elofsson, Hossein Azizpour
Prediction hubs are context-informed frequent tokens in LLMs
Beatrix MG Nielsen, Iuri Macocco, Marco Baroni
Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data
Florian E. Dorner, Vivian Nastl, Moritz Hardt
How to safely discard features based on aggregate SHAP values
Robi Bhattacharjee, Karolin Frohnapfel, Ulrike von Luxburg
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
Emanuele Marconato, Sébastien Lachapelle, Sebastian Weichwald, Luigi Gresele
Disentangling Interactions and Dependencies in Feature Attribution
Gunnar König, Eric Günther, Ulrike von Luxburg
Numerically Robust Fixed-Point Smoothing Without State Augmentation
Nicholas Krämer
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H Lampert
Identifying Metric Structures of Deep Latent Variable Models
Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Søren Hauberg
Unstructured Evidence Attribution for Long Context Query Focused Summarization
Dustin Wright , Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens
Efficient Knowledge Injection in LLMs via Self-Distillation
Kalle Kujanpää, Pekka Marttinen, Harri Valpola, Alexander Ilin
How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
Saad Obaid Ul Islam, Anne Lauscher, Goran Glavaš
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
Baichuan Huang, Amir Aminifar
The Impact of Inference Acceleration on Bias of LLMs
Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar
Multi-Modal Framing Analysis of News
Arnav Arora, Srishti Yadav, Maria Antoniak, Serge Belongie, Isabelle Augenstein
From Sound to Sight: Towards AI-authored Music Videos
Leo Vitasovic, Stella Graßhof, Agnes Mercedes Kloft, Ville V. Lehtola, Martin Cunneen, Justyna Starostka, Glenn McGarry, Kun Li, Sami S. Brandt
Archetypal Analysis for Binary Data
A. Emilie J. Wedenborg, Morten Mørup
S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling
Suman Adhya, Debarshi Kumar Sanyal
Relational Conformal Prediction for Correlated Time Series
Andrea Cini, Alexander Jenkins, Danilo Mandic, Cesare Alippi, Filippo Maria Bianchi
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner, Kostadin Cvejoski, Antonia Körner, Ramses Sanchez
MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
Carlo Abate, Filippo Maria Bianchi
CodeSSM: Towards State Space Models for Code Understanding
Shweta Verma, Abhinav Anand, Mira Mezini
Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering
Evelyn D'Elia, Paolo Maria Viceconte, Lorenzo Rapetti, Diego Ferigo, Giulio Romualdi, Giuseppe L'Erario, Raffaello Camoriano, Daniele Pucci
No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
Image Generation Diversity Issues and How to Tame Them
Mischa Dombrowski; Weitong Zhang; Sarah Cechnicka; Hadrien Reynaud; Bernhard Kainz
Echoes of Agreement: Argument driven opinion shifts in Large Language models
Avneet Kaur
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
Minttu Alakuijala, Reginald McLean, Isaac Woungang, Nariman Farsad, Samuel Kaski, Pekka Marttinen, Kai Yuan
Pre-Forgettable Models: Prompt Learning as a Native Mechanism for Unlearning
Rutger Hendrix, Giovanni Patanè, Leonardo G Russo, Simone Carnemolla, Giovanni Bellitto, Federica Proietto Salanitri, Concetto Spampinato, Matteo Pennisi
Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models
Jinhui Yi, Syed Talal Wasim, Yanan Luo, Muzammal Naseer, Juergen Gall
MixANT: Observation-dependent Memory Propagation for Stochastic Dense Action Anticipation
Syed Talal Wasim, Hamid Suleman, Olga Zatsarynna, Muzammal Naseer, Juergen Gall
Multi-Hop Reasoning for Question Answering with Hyperbolic Representations
Simon Welz, Lucie Flek, Akbar Karimi
Understanding the sources of performance in deep drug response models reveals insights and improvements
Nikhil Branson, Pedro R Cutillas, Conrad Bessant
SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction
Enrico Pallotta, Sina Mokhtarzadeh Azar, Shuai Li, Olga Zatsarynna, Jürgen Gall
MixANT: Observation-dependent Memory Propagation for Stochastic Dense Action Anticipation
Syed Talal Wasim, Hamid Suleman, Olga Zatsarynna, Muzammal Naseer, Juergen Gall
REPEAT: improving uncertainty estimation in representation learning explainability
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation
Jan Pauls, Max Zimmer, Berkant Turan, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Fabian Gieseke
Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods
Buelent Uendes, Shujian Yu, Mark Hoogendoorn