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Showing papers from IIT Bombay Show all papers

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Adversarial Corpus Selection to Attack Subgraph Matching based Graph Retrieval

Ninad Gandhi, Mayukh Mondal, Brian S Mackwan, Soumen Chakrabarti and 1 more

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

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45%Niche pick
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A Solver-Efficient Neural Adversarial Attack on Subgraph Matching Models

Ninad Gandhi, Mayukh Mondal, Brian S Mackwan, Soumen Chakrabarti and 1 more

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

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57%Worth a look
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Position: Machine Learning Models for Reaction Transition States Deserve Better

Atharva Tambat, Ankit Ghosh, Swastik Kumar, Raghavan B Sunoj and 1 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Active Corpus Selection for Training Subgraph Retrievers Using OOD Queries

Pritish Chakraborty, Aditya Singh, Indradyumna Roy, Lokesh N and 7 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: 0 of 20 reviewers recommend it
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A Cross-Interaction Neural Architecture for Submodular Functions

SOUTRIK SARANGI, Aditya Singh, Vansh Maheshwari, Abir De

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
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67%Highly rated
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Concept-Aware Wasserstein Routing with Vision-Language Guidance for Few-Shot WSI Classification

Ankit Kumar, Shounak Das, Sandeep Kumar, Kaustubh Atey and 1 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
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74%Highly rated
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Cost-Aware Best-LLM Identification using Dueling Feedback

A cost-aware Track-and-Stop algorithm identifies the best LLM via dueling feedback with asymptotically optimal sampling cost.

Sarvesh Gharat, Nikhil Karamchandani, Jayakrishnan Nair

Sydney Poster Session 1, Tue, Dec 8, 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 5/5
medium 3/10
strict 1/5
80%Must read
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Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds

Intrinsic Muon extends norm-constrained matrix optimization to Riemannian manifolds via canonical intrinsic norms, yielding closed-form updates and convergence rates independent of factor conditioning.

Yibang Li, Bihari L Pandey, Ravi Sah, Andi Han 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: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5
80%Must read
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LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection

LOFT separates orthogonal PEFT subspaces from transformations to enable task-aware support selection, improving efficiency-performance trade-offs across language, vision, and reasoning tasks.

Lanxin Zhao, Bamdev Mishra, Pratik Kumar Jawanpuria, Lequan Lin and 3 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5