Showing papers from EPFL Show all papers
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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DiPhon defines graphon diffusion via a Jacobi SDE for scalable graph generation, matching first moments exactly and preserving topology across sizes without retraining.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Linear probes on LLM residual streams identify a shared preference vector tracking pairwise choices across personas, with cross-persona transfer and causal steering.
Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026
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A structure-aware optimization framework crafts frequency adversarial attacks via weighted projections onto structured non-orthogonal transform constraints, yielding effective cross-architecture vulnerabilities.
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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Joint Consistency frames test-time aggregation as energy minimization using pairwise interactions and evaluation signals, outperforming existing voting methods across reasoning benchmarks.
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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Dithered randomized Hadamard quantization is unbiased and achieves mean squared error asymptotically matching dense random rotations at O(d log d) cost.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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MyoChallenge 2025 benchmarks musculoskeletal sports control via simulated table tennis and soccer tasks, advancing agile motor algorithms across 70 teams.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Argus detects backdoor attacks in decentralized learning by having nodes share local trigger analyses with neighbors and filter updates via structural similarity, reducing attack success by up to 90 points without a central server.
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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Terminator learns optimal early-exit points for chain-of-thought reasoning to cut token lengths by 14%-55% and boost inference speed over 2x with minimal accuracy loss.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 19 on Hugging Face
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Proximal preconditioned stochastic gradient methods extend Muon/Scion to nonconvex constrained optimization with heavy-tailed noise convergence and faster variance-reduced variants.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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LoRIF exploits low-rank gradient structure to reduce storage and query I/O to O(c√D) and inverse Hessian memory to O(Dr), achieving up to 20× speedups over LoGRA at scale.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Learned stochastic stopping reduces out-of-distribution variance in looped transformers by decoupling loop count from sequence length during training. It improves accuracy-stability trade-offs across algorithmic tasks, though it can stabilize suboptimal computation.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Random search for stochastic optimization works under weaker smoothness assumptions and achieves faster convergence via variance-reduced variants using translation invariance to balance noise.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Penalized DRO reformulates adversarial risk via optimal transport maps that are cyclically monotone, and enforcing this property via multi-start particle ascent or input-convex networks improves robustness over standard adversarial training.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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KroQuant applies a learned Kronecker-structured block transform to DiT activations for efficient W4A4 post-training quantization that outperforms SVDQuant and LoRaQ on image quality.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Quantitative local convergence rates for mean-field SVGD with Riesz kernels are established via explicit polynomial L² decay, with sharpness verified numerically.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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MA-BC partitions conflicting expert trajectories while pooling compatible data to recover Pareto-optimal policies in multi-objective imitation with minimax optimal rates.
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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BalCapRL balances RL for MLLM captioning across correctness, coverage, and fluency via normalized multi-objective rewards and length masking, boosting quality metrics substantially.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 4 on Hugging Face
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Latent prediction learns hierarchical latent trees with samples constant in depth L, exponentially more efficient than token-level self-supervision, making explicit multi-scale stacking largely redundant.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face
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LOSCAR-SGD combines local SGD, sparse communication, and overlap with a delay-corrected merge for heterogeneous workers, yielding convergence guarantees and faster training.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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MIRAGE predicts whole-brain fMRI from audiovisual stimuli via adaptive multimodal gating, outperforming unimodal feature aggregation with interpretable cortical modality patterns.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 6
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Task-induced Riemannian metrics define ViT feature geometry via decoder Jacobians, and a learnable low-rank approximation enables accurate geometric token pruning without fine-tuning.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Cephalonauts One provides 30 hours per subject of whole-brain fMRI during naturalistic speech, paired with audio, transcripts, and embeddings, plus a brain decoding benchmark showing continuous performance gains with more training data.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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Deep spiking ResNets preserve cortical-like functional connectivity where rare, coordinated 1FC ensemble cofiring reliably predicts downstream responses via ReLU-like scaling, encodes class identity, and breaks under adversarial perturbation and weight permutation.
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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ADAS reranks masked diffusion sampling by discounting token confidence via attention to selected uncertain positions, improving low-step reasoning and code accuracy by up to 10.5 points with minimal overhead.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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ATWU learns token-level forget-specificity via retain-conflict scoring to improve LLM unlearning, achieving state-of-the-art forget-retain trade-offs without external supervision.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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EverAnimate restores drifted latent flows via persistent memory and restorative matching, improving long human animation quality and identity consistency over minutes.
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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Rescaled ASGD corrects asynchronous SGD's bias toward fast workers via computation-time-proportional step sizes, matching optimal time complexity with only lower-order heterogeneity penalties.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Neural Galerkin normalizing flows learn diffusion transition densities via Fokker-Planck equations to enable efficient MCMC inference without real-time solves.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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LoRaQ uses data-free optimization to quantize low-rank branches for 4-bit diffusion transformers, outperforming high-precision methods at equal overhead.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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RePercENT scales disentangled multimodal representation learning beyond two modalities via a plug-and-play framework that extracts shared and unique factors with formal guarantees and lower complexity.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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PICID introduces a modular infrastructure that formalizes reproducible PHM evaluation pipelines and enables fair cross-task comparisons across diagnostics and prognostics.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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WildBox provides aerial monocular 3D wildlife annotations and benchmarks showing zero-shot 3D detection collapses to zero, with fine-tuning reaching 13.17 AP3D and depth as the dominant failure mode.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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NASDAQ normalizes low-dimensional observations to balance dynamics prediction losses and couples value learning with short-term value and next-observation prediction, achieving strong sample efficiency and faster training across diverse domains.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Causal inference framing of membership inference attacks defines memorization as training inclusion effects, reveals interference and distribution-shift biases, and yields reliable estimators without retraining.
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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MUX compresses reasoning into continuous multiplexed tokens via lossless superposition, accelerating reasoning and outperforming latent baselines across 32 settings.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Standardized LLM pretraining benchmarks compare optimizers across model sizes, batch sizes, and training durations to guide selection and highlight future research directions.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 25 on Hugging Face · Code ★ 61
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ECHO-k uses pretrained representations as proxy targets for self-supervised reinforcement learning to sequentially acquire informative modalities at test time, improving budgeted downstream performance across diverse backends.
Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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DYSCO uses multi-view contrastive learning to recover latent dynamics and governing equations from noisy high-dimensional data, with theoretical identification guarantees and empirical validation across diverse regimes.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Muon achieves optimal heavy-tailed sample complexity with dimension-independent convergence for nuclear-norm stationarity, unlike Euclidean methods.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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SODA unifies modern optimizers via optimistic dual averaging and improves them with a theoretical 1/k weight decay schedule requiring no tuning.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Active context selection improves contextual bandit simple regret from order root n over T times L1/2 norm of p to root n over T times L2/3 norm, with gains up to k to the 1/4.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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Soft-Radial Projection uses radial interior mapping to enforce hard constraints with full-rank Jacobians, avoiding gradient saturation and improving convergence.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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