Pradeep Shenoy - Publications

(Most articles available on Scholar or arxiv, which are also more up-to-date---Google Scholar / DBLP).

2025 - present (Foundation models / LLMs)

Universal Model Routing for Efficient LLM Inference

W. Jitkrittum, H. Narasimhan, A.S. Rawat, J. Juneja, Z. Wang, C-Y. Lee, P. Shenoy, R. Panigrahy, A.K. Menon, S. Kumar. ICLR 2026.

Also presented at SCOPE Workshop, ICLR-W 2025.

Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities

Gemini team. Arxiv 2025.

Masked Generative Nested Transformers with Decode Time Scaling

S. Goyal, D. Tula, G. Jain, P. Shenoy, P. Jain, S. Paul. ICML 2025.

Also presented at the Delta workshop, ICLR-W 2025.

2021 - 2024 (Robustness, efficiency, continual learning)

Unified Wisdom: Harnessing Collaborative Learning to Improve Efficacy of Knowledge Distillation

Durga S, A.A. Tambat, G. Ramakrishnan, P. Shenoy. TMLR 2025.

Dynamic data selection for efficient SSL via coarse-to-fine refinement

A. Tripathi, P. Shenoy, A. Chakraborty. ECCV 2024.

OLAF: A plug-and-play framework for enhanced multi-object multi-part scene parsing

P. Gupta, R. Singh, P. Shenoy, R. Sarvadevabhatla. ECCV 2024.

Improving Generalization via Meta-Learning on Hard Samples

N. Jain, A.S. Suggala, P. Shenoy. CVPR 2024.

Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components

S. Pal, P. Varshney, G. Madan, A. Thakurta, P. Jain, G. Aggarwal, P. Shenoy, G. Srivastava. AISTATS 2024.

Learning model uncertainty as variance-minimizing instance weights

N. Jain, K. Shanmugham, P. Shenoy. ICLR 2024.

Instance-conditional timescales of decay for nonstationary learning

N. Jain, P. Shenoy. AAAI 2024.

Using early readouts to mediate featural bias in distillation.

R. Tiwari, D. Sivasubramanian, A. Reddy, G. Ramakrishnan, P. Shenoy. WACV 2024.

-----------------

STREAMLINE: Streaming active learning for realistic multi-distributional settings (arxiv preprint)

N. Beck, S. Kothawade, P. Shenoy, R. Iyer. Workshop on Visual Continual Learning, ICCV-W 2023.

Overcoming simplicity bias in deep networks using a feature sieve

R. Tiwari, P. Shenoy. ICML 2023.

Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++

B.M. Umapathi, K. Chauhan, P. Shenoy, D. Sridharan. IJCAI 2023.

Avoiding Catastrophic Referral Failures In Medical Images Under Domain Shift

A. Srivastava, P. Shenoy, D. Sridharan. Workshop on domain generalization, ICLR-W 2023.

Edges to shapes to concepts: Adversarial augmentation for robust vision

A. Tripathi, R. Singh, A. Chakraborty, P. Shenoy. CVPR 2023.

Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning

K Chauhan, S Chatterjee, A Reddy, B Ravindran, P Shenoy. (short paper) AAMAS 2023.

Also presented at Workshop on Ecological theory of reinforcement learning, NeurIPS-W 2022.

Interactive concept bottleneck models

K. Chauhan, R. Tiwari, J. Freyberg, P. Shenoy, K. Dvijotham. AAAI 2023.

Also presented at Workshop on Human in the loop learning, NeurIPS-W 2022.

Adaptive mixing of auxiliary losses in supervised learning

D. Sivasubramanian, A. Maheshwari, AP Prathosh, P. Shenoy, G. Ramakrishnan. AAAI 2023.

-----------------

Meta-learning of dynamic policy adjustments in inhibitory control tasks

S. Chatterjee, P. Shenoy. CogSci 2022.

FLOAT: Factorized learning of object attributes for improved multi-object multi-part scene parsing

R. Singh, P. Gupta, P. Shenoy, R. Sarvadevabhatla. CVPR 2022.

GCR: Gradient coreset based replay buffer selection for continual learning

R. Tiwari, K. Killamsetty, R. Iyer, P. Shenoy. CVPR 2022.

Robust outlier detection by de-biasing VAE likelihoods

K. Chauhan, B. Mohan, P. Shenoy, M. Gupta, S. Devarajan. CVPR 2022.

Also presented at Workshop on Bayesian deep learning, NeurIPS-W 2021.

-----------------

End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks

A. Agarwal, P. Shenoy, Mausam. Arxiv 2021.

Tracking what matters: A decision-variable account of human behavior in bandit tasks

V. Agrawal, P. Shenoy. 43rd Annual meeting of the Cognitive Sciences Society (CogSci) 2021.

Model-agnostic fits for understanding information seeking patterns in humans

S. Chatterjee, P. Shenoy. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021.

2009 - 2014 (Computational Cognitive Neuroscience)

Altered neural processing of the need to stop in young adults at risk for stimulant dependence

K.M. Harlé, P. Shenoy, J.L. Stewart, S.F. Tapert, A.J. Yu, M.P. Paulus. J. Neurosci (2014), 34 (13), 4567-4580, 2014.

The influence of emotions on cognitive control: feelings and beliefs—where do they meet?

K.M. Harlé, P. Shenoy, M.P. Paulus. Frontiers in human neuroscience 7, 508, 2013.

Rational preference shifts in multi-attribute choice: what is fair?

P. Shenoy, A. J. Yu. Proceedings of the Cognitive Science Society (CogSci) 2013.

Bayesian predictions and evaluation in the anterior cingulate cortex

J.S. Ide, P. Shenoy, AJ. Yu, C-S. R. Li. J. Neurosci (2013), 33(5):2039-2047, 2013.

Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making

P. Shenoy, A. J. Yu. Advances in Neural Information Processing Systems (NeurIPS) 25, 2012.

Differential efficiency of conflict resolution underlies individual differences in inhibitory capacity in the stop simon task

P. Shenoy, S. Jahfari, A. J. Yu. Society for Neuroscience Abstracts, 2012.

Rational decision-making in inhibitory control

P. Shenoy, A. J. Yu. Frontiers in Human Neuroscience 5:48, 2011.

A rational decision-making framework for inhibitory control

P. Shenoy, R. P.N. Rao. A. J. Yu. Advances in Neural Information Processing Systems (NeurIPS) 23, 2010.

2004 - 2008 (Brain-Computer Interfaces)

Control of a Humanoid Robot by a Noninvasive Brain-Computer Interface in Humans

C.J. Bell, P. Shenoy, R. Chalodhorn, R. Rao. J Neur Eng 5 (2008), 214-220.

Complementary Computing for Visual Tasks: Meshing Computer Vision with Human Visual Processing

A. Kapoor, D. Tan, P. Shenoy, E. Horvitz. IEEE Intl Conf on Automatic Face and Gesture Recognition (FG) 2008.

Combining Brain-computer Interfaces With Vision for Object Categorization

Ashish Kapoor, Pradeep Shenoy, Desney Tan. CVPR 2008.

Human-aided Computing: Utilizing Implicit Human Processing to Classify Images

Pradeep Shenoy, Desney Tan. CHI 2008.

Feasibility and Pragmatics of Classifying Working Memory Load with an Electroencephalograph

D. Grimes, D. Tan, S. Hudson, P. Shenoy, R. Rao. CHI 2008.

Generalized Features for Electrocorticographic BCIs

P. Shenoy, K.J. Miller, J. Ojemann, R. Rao. IEEE Trans Biomed Engg (2008), 55(1), 273-280.

Online Electromyographic Control of a Robotic Prosthesis

P. Shenoy, K.J. Miller, B. Crawford, R. Rao . IEEE Trans. Biomed Engg (2008), 55(3), 1128-1135.

Beyond the Gamma Band: The Role of High Frequency Features in Movement Classification

K.J. Miller, P. Shenoy, M. den Nijs, L.B. Sorensen, R. Rao, J. Ojemann. IEEE Trans. Biomed Engg (2008), 55(5) 1634-1637.

Real-time Functional Brain Mapping using Electrocorticography

K.J. Miller, M. denNijs, P. Shenoy, R. Rao, J. Ojemann. NeuroImage (2007), 37(2) 504-507, 2007.

Finger Movement Classification for an Electrocorticographic BCI

P. Shenoy, K.J. Miller, J. Ojemann, R. Rao. IEEE EMBS Conf. Neur Engg 2007.

Adaptation in CSP-based BCI systems (book chapter)

M. Krauledat, P. Shenoy, B. Blankertz, R. Rao. K.-R. Mueller. Toward Brain-Computer Interfacing, MIT Press, 2007.

Correlation in Paired One-Dimensional, Closed Loop, Overt, Motor Controlled BCI

K.J. Miller, G. Schalk, E.C. Leuthardt, P. Shenoy, R.P.N. Rao, J.G Ojemann. 3rd Int'l BCI Workshop, Graz, Austria, 2006.

Robust Classification of Electrocorticographic Signals for BCI

P. Shenoy, K.J. Miller, N. Evans, J. Ojemann, R. Rao. 3rd Int'l BCI Workshop, Graz, Austria, 2006.

Towards Adaptive Classification for BCI

P. Shenoy, M. Krauledat, B. Blankertz, R. Rao, K.-R. Mueller. J Neur Eng. 3 (2006).

Realtime Classification of Electromyographic Signals for Prosthetics

Beau Crawford, Kai Miller, Pradeep Shenoy, Rajesh Rao . AAAI 2005.

Dynamic Bayes Networks for Brain-Computer Interfacing

Pradeep Shenoy, Rajesh Rao. NIPS 2004.

1999 - 2003 (Database Systems)

Corpus-based Schema Matching

Jayant Madhavan, Philip Bernstein, Kuang Chen, Alon Halevy, Pradeep Shenoy.

Workshop on Information Integration and the Web, IJCAI -W 2003.

Relational On-line Exchange With XML (demo)

P. Bohannon, X. Dong, S. Ganguly, H.F. Korth, C. Li, P.P.S. Narayan, P. Shenoy. SIGMOD 2003.

Optimizing View Queries in ROLEX to Support Navigable Result Trees

P. Bohannon, S. Ganguly, H.F. Korth, P.P.S. Narayan, P. Shenoy. VLDB 2002.

Updates for Structure Indexes

Raghav Kaushik, Philip Bohannon, Jeff Naughton, Pradeep Shenoy. VLDB 2002.

Exploiting Local Similarity for Efficient Indexing of Paths in Graph Structured Data

Raghav Kaushik, Pradeep Shenoy, Philip Bohannon, Ehud Gudes. ICDE 2002.

Turbo-Charging Vertical Mining of Large Databases

P. Shenoy, J. Haritsa, S. Sudarshan, G. Bhalotia, M. Bawa, D. Shah. SIGMOD 2000.

Page updated

Google Sites

Report abuse