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Showing papers from EPFL - EPF Lausanne Show all papers

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Sequence-to-Sequence Modeling with Camera-Induced Priors for Multi-View Stereo

Aoxiang Fan, Corentin Dumery, Nicolas Talabot, Pascal Fua

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Differentiable Exact Learning of Algorithms

Hristo Papazov, Francesco D'Angelo, Nicolas Flammarion

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Hierarchical Graph Representation Learning with Pooling-Induced Substructures

Luca Sbicego, Xiaowen Dong, Dorina Thanou

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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Hierarchical Regime-Conditioned Dynamics for Spatiotemporal Graphs

Jeremy Baffou, Pascal Frossard, Dorina Thanou

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
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57%Worth a look
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spora: A Unified Multimodal Dataset for Spatial Proteomics

Benedikt von Querfurth, Eeshaan Jain, Johann Wenckstern, Lukas Klein and 8 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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Parasite Features: Causal Abstraction Through Spurious Pathways

Denis Sutter, Qing Yao, Sasha Boguraev, Julian Minder and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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Recovering the Apresjan Hierarchy Using Linkage-Based Clustering

Maximilien Dreveton, Matthias Grossglauser, Daichi Kuroda, Patrick Thiran

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 0/5
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57%Worth a look
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Bridging 1D, 2D, and 3D with Any-to-Any Multimodal Modeling

Jason Toskov, Oriol Barbany, Rishubh Singh, Jinya Sakurai and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study

Hao Dong, Hongzhao Li, Shupan Li, Muhammad Haris Khan and 2 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
57%Worth a look
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Position: Lottery Tickets Do Not Explain Overparameterization. How About Escape Dimensions?

Flavio Martinelli, Johanni Brea, Wulfram Gerstner

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 0/5
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strict 1/5
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AcceleGrad#: Adaptive Geometry-Aware Acceleration

Hanka Goralija, Francesco Tonin, Kimon Antonakopoulos, Alp Yurtsever and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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76%Highly rated
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Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics

Independent learning achieves approximate Nash equilibria in partially observable Markov potential games with decoupled dynamics and near-polynomial complexity via finite history windows.

Philip Jordan, Maryam Kamgarpour

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 3/5
74%Highly rated
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DiPhon: Diffusion on Graphons for Scalable Graph Generation

DiPhon defines graphon diffusion via a Jacobi SDE for scalable graph generation, matching first moments exactly and preserving topology across sizes without retraining.

Sergio Rozada, Yiming QIN, Manuel Madeira, Pascal Frossard and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5
80%Must read
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NEvo: Neural-Guided Evolutionary Video Synthesis for Dynamic Visual Selectivity

NEvo uses neural-guided evolutionary video synthesis to generate brain-region-optimized dynamic stimuli that surpass handcrafted localizers and reveal visual cortex temporal selectivity differences.

Yingtian Tang, Sogand Salehi, Ming Zhou, Amir Zamir and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
76%Highly rated
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Provable Quantization with Randomized Hadamard Transform

Dithered randomized Hadamard quantization is unbiased and achieves mean squared error asymptotically matching dense random rotations at O(d log d) cost.

Ying Feng, Piotr Indyk, Michael Kapralov, Dmitrii Krachun and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 2/5
72%Highly rated
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MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence

MyoChallenge 2025 benchmarks musculoskeletal sports control via simulated table tennis and soccer tasks, advancing agile motor algorithms across 70 teams.

Cheryl Wang, Chun Kwang Tan, Balint Hodossy, Shirui Lyu and 20 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 2/10
strict 1/5
76%Highly rated
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Efficient Prediction of Pass@k Scaling in Large Language Models

Standard pass@k scaling laws suffer statistical shortcomings, so a beta-binomial framework and dynamic sampling strategy more accurately predict rare LLM capabilities and risks from limited data.

Joshua Kazdan, Colin Sullivan, Rylan Schaeffer, Youssef Allouah and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
71%Highly rated
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Jacobian Descent for Multi-Objective Optimization

Jacobian descent resolves multi-objective gradient conflicts via projection to improve convergence and enable instance-wise risk minimization.

Pierre Quinton, Valérian Rey

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
80%Must read
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MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding

MIRAGE predicts whole-brain fMRI from audiovisual stimuli via adaptive multimodal gating, outperforming unimodal feature aggregation with interpretable cortical modality patterns.

Abdulkadir Gokce, Badr AlKhamissi, Martin Schrimpf

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 6

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
71%Highly rated
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Deep Learning as Neural Low-Degree Filtering: A Spectral Theory of Hierarchical Feature Learning

Neural LoFi frames deep training as iterative spectral low-degree filtering, predicting layer-wise feature selection, concept emergence, and compositional depth via low-degree correlation dynamics.

Yatin Dandi, Matteo Vilucchio, Luca Arnaboldi, Hugo Tabanelli and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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AI panel: 7 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 0/5
72%Highly rated
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EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration

EverAnimate restores drifted latent flows via persistent memory and restorative matching, improving long human animation quality and identity consistency over minutes.

WUYANG LI, Yang Gao, Mariam Hassan, Lan Feng and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
89%Must read
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SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning

Mixed-policy LLM reasoning gains stem from buggy baselines; fixing optimizer and loss bugs makes standard SFT-then-RL outperform them by up to 22 points.

Alexis Limozin, Eduard F Ďurech, Torsten Hoefler, Imanol Schlag and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 4/5
88%Must read
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The Future of Facts: Tracing the Factual Generation-Verification Gap

Verification of facts is consistently learned before generation, resists continual learning better, and leaves models verifying both old and new answers after updates.

Tim R Davidson, Anja Surina, Caglar Gulcehre

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
80%Must read
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Geometric Latent Reasoning Induces Shorter Generations in LLMs

Geometric Latent Reasoning predicts continuous embedding-space reasoning paths via iterative direction updates, yielding substantially shorter correct generations without length penalties.

Shashi Kumar, Yacouba Kaloga, Petr Motlicek, Ina Kodrasi and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
83%Must read
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PICID: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains

PICID introduces a modular infrastructure that formalizes reproducible PHM evaluation pipelines and enables fair cross-task comparisons across diagnostics and prognostics.

Lev Telyatnikov, Raffael Theiler, Leandro Von Krannichfeldt, Olga Fink

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
83%Must read
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It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs

SYNTH is an open-source synthetic dataset derived from Wikipedia that collapses pre-, mid-, and post-training into one stage, training competitive small models with 10-140x fewer tokens and higher factual precision than web-crawled data.

Pierre-Carl Langlais, Pieter Delobelle, Yannick Detrois, Pavel Chizhov and 6 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
72%Highly rated
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Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models

EyeVLM benchmarks vision-language models on gaze following and social gaze prediction, finding they lack precise gaze understanding despite training improvements.

Hengfei Wang, Anshul Gupta, Pierre Vuillecard, Jean-marc Odobez

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5