Lost in the Slots: Revisiting Object-Centric Representations in the era of Foundation Models

Priyam Dey, Aditya Sahdev, Omkar M Kashyap, Venkatesh Babu Radhakrishnan

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

CHoRD: Coordinating Scheduling and Data Placement for Efficient Deep Neural Network Inference on Chiplet-Based GPUs

Hanpei Liu, Samit S Miftah, Dipali Jain, Dan Fiumara and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

Position: Reconciling Open Access with Owner Control in AI Model Distribution Deserves More Research Effort

Zerui Cheng, Edoardo Contente, Benjamin Finch, Oleg Golev and 7 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Weighted Sampling for Online Causal Discovery

Arnab Bhattacharyya, Philips George John, Sayantan Sen, Naganand Yadati

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

Adaptive multiscale operator correction via learned spectral subspace and physics-informed optimization.

Subham Patel, Himanshu Pandey, RATIKANTA BEHERA

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

In STeP: Speculative Tensor Parallelism for Concurrent Heterogeneous Inference of LLMs

Viren Luke Radhakrishnan, Dhruva Kashyap, Pranav K Nayak, Chiranjib Bhattacharyya and 1 more

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

Bridging Safety and Performance in Autonomous Systems using Offline Reinforcement Learning

Mumuksh Tayal, Manan Tayal, Ravi Prakash

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

Principia: Relational Physics Tests for Video Models

Principia benchmarks video generators via calibration-independent relational physics consistency across eight Newtonian phenomena, finding top models score below 0.42 despite high VBench ratings.

Varun V Thozhiyoor, Shivam Tripathi, Venkatesh Babu Radhakrishnan, Anand Bhattad

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 18 on Hugging Face

Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation

FedUCA treats servers as participation optimizers to sustain rational clients, achieving higher retention and better global models than standard aggregation.

Yashwanth Mandula, Arunabh Singh, Ashok Nayak, Saikiran Bulusu and 1 more

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

Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise

Exploiting data symmetries improves k-NN accuracy for selecting low-noise training subsets, yielding near-optimal performance despite high-dimensional label noise.

Kumar Shubham, Pavan Karjol, Kiran M K, Prathosh AP

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

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates

FAR-SIGN enables adversary-resilient fully asynchronous parameter-server optimization via signed directional updates with two-timescale bias correction, achieving near-optimal convergence rates for nonconvex objectives.

Anik Kumar Paul, Nibedita Roy, Nagesh Talagani, Swetha Ganesh and 2 more

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

Thinking in Boxes: 3D Editing in Real Images Made Easy

The method treats 3D box pairs as structured transformation specs for precise real-image editing, outperforming state-of-the-art on large 3D edits.

Pradhaan Bhat, Naveen Chandra R, Rishubh Parihar, Vaibhav Vavilala and 3 more

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