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Vineeth N. Balasubramanian

Observed names: Balasubramanian, Vineeth, Balasubramanian, Vineeth N, Balasubramanian, Vineeth N., Vineeth Balasubramanian, Vineeth N Balasubramanian
OpenAlex ID: A5147046916
MADG: Margin-based Adversarial Learning for Domain Generalization
2023 · Aveen Dayal, Vimal K B, et al. · neural information processing systems · 60
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What do MLLMs know about 'Waldo'? Evaluating Visual Reasoning under Multi-Instance Multi-Object Challenges
2026 · Mundra, Saumya, Mondal, Ajoy, et al. · arXiv (Cornell University)
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ISA-Bench: A Benchmark for Computational Reasoning Across Instruction Set Architectures
2026 · Pola, Aditya, Majumdar, Arkaprava, et al. · arXiv (Cornell University)
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Merge++: Universal Merge Refinement Through Data-Free Checkpoint Inversion
2026 · Pola, Aditya, Balasubramanian, Vineeth N. · arXiv (Cornell University)
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Rethinking LLM Verification: Evidence Structure, Uncertainty, and Selective Refinement
2026 · Ranjan, Uma, Tilaganji, Kunal, et al. · arXiv (Cornell University)
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Real-Time Source-Free Object Detection
2026 · VCR, Sairam, Gopal, Varun, et al. · arXiv (Cornell University)
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Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning
2026 · Vemuri, Deepika SN, Adhikari, Sayanta, et al. · arXiv (Cornell University)
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Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs
2026 · Association for Computational Linguistics 2026, Balasubramanian, Vineeth N, et al. · Underline Science Inc.
Unifying Scientific Communication: Fine-Grained Correspondence Across Scientific Media
2026 · Megha Mariam K. M, Vineeth N. Balasubramanian, et al.
Swift Sampling: Selecting Temporal Surprises via Taylor Series
2026 · Kim, Dahye, Sachdeva, Bhuvan, et al. · arXiv (Cornell University)
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A Nash Equilibrium Framework For Training-Free Multimodal Step Verification
2026 · Sinha, Rohit, Tilaganji, Kunal, et al. · arXiv (Cornell University)
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Unifying Scientific Communication: Fine-Grained Correspondence Across Scientific Media
2026 · M, Megha Mariam K., Balasubramanian, Vineeth N., et al. · arXiv (Cornell University)
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Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs
2026 · Kancheti, Sai Srinivas, Kanade, Aditya Sanjiv, et al. · arXiv (Cornell University)
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Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs
2026 · Sinha, Rohit, Kanade, Aditya, et al. · arXiv (Cornell University)
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Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization
2026 · Kancheti, Sai Srinivas, Kanade, Aditya, et al. · arXiv (Cornell University)
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$\oslash$ Source Models Leak What They Shouldn't $\nrightarrow$: Unlearning Zero-Shot Transfer in Domain Adaptation Through Adversarial Optimization
2026 · Devalapally, Arnav, Jain, Poornima, et al. · arXiv (Cornell University)
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interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification
2026 · Bhat, Vishak K, Chanda, Prateek, et al. · arXiv (Cornell University)
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Mind’s Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs
2026 · Rohit Sinha, Aditya Sanjiv Kanade, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs
2026 · Sai Srinivas Kancheti, Aditya Sanjiv Kanade, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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VERDICT: Training-Free Step-Wise Verification of Multimodal Reasoning via Disagreement-Aware Consensus
2026 · Rohit Sinha, Kunal Tilaganji, et al. · Lecture notes in computer science
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Beyond Fixed Luminance: Towards Panchromatic and Orthochromatic Image Colorization
2026 · Swarnim Maheshwari, Syed Imam Ali, et al. · Lecture notes in computer science
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Real-Time Source-Free Object Detection
2026 · V. C. R. Sairam, Varun Gopal, et al. · Lecture notes in computer science
Where does an LLM begin computing an instruction?
2025 · Pola, Aditya, Balasubramanian, Vineeth N. · arXiv (Cornell University)
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Mitigating the Effect of Incidental Correlations on Part-based Learning
2023 · Gaurav Bhatt, Deepayan Das, et al. · neural information processing systems
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Works count: 24
Citation count: 60
H-index: 1
I10-index: 1
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